From b7dc69564c37a0997f79564b32d019959ba92983 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 26 Dec 2024 15:17:46 +0000 Subject: [PATCH] Update best-of list for version 2024.12.26 --- README.md | 2646 +++++++++++++++---------------- history/2024-12-26_changes.md | 30 + history/2024-12-26_projects.csv | 921 +++++++++++ latest-changes.md | 40 +- 4 files changed, 2294 insertions(+), 1343 deletions(-) create mode 100644 history/2024-12-26_changes.md create mode 100644 history/2024-12-26_projects.csv diff --git a/README.md b/README.md index cb479de..3b8bfc9 100644 --- a/README.md +++ b/README.md @@ -99,14 +99,14 @@ This curated list contains 920 awesome open-source projects with a total of 4.7M _General-purpose machine learning and deep learning frameworks._ -
Tensorflow (πŸ₯‡57 Β· ⭐ 190K Β· πŸ“ˆ) - An Open Source Machine Learning Framework for Everyone. Apache-2 +
Tensorflow (πŸ₯‡55 Β· ⭐ 190K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 74K Β· πŸ“¦ 440K Β· πŸ“‹ 45K - 13% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 74K Β· πŸ“¦ 450K Β· πŸ“‹ 45K - 13% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 24M / month Β· πŸ“¦ 8.1K Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 23M / month Β· πŸ“¦ 8.1K Β· ⏱️ 25.10.2024): ``` pip install tensorflow ``` @@ -121,12 +121,12 @@ _General-purpose machine learning and deep learning frameworks._
PyTorch (πŸ₯‡55 Β· ⭐ 85K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.3K Β· πŸ”€ 23K Β· πŸ“₯ 69K Β· πŸ“¦ 600K Β· πŸ“‹ 49K - 32% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.3K Β· πŸ”€ 23K Β· πŸ“₯ 70K Β· πŸ“¦ 600K Β· πŸ“‹ 49K - 31% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 34M / month Β· πŸ“¦ 20K Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 32M / month Β· πŸ“¦ 20K Β· ⏱️ 29.10.2024): ``` pip install torch ``` @@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡53 Β· ⭐ 61K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 990K Β· πŸ“‹ 12K - 17% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 1M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 81M / month Β· πŸ“¦ 26K Β· ⏱️ 09.12.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 78M / month Β· πŸ“¦ 26K Β· ⏱️ 09.12.2024): ``` pip install scikit-learn ``` @@ -153,12 +153,12 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡48 Β· ⭐ 62K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 15M / month Β· πŸ“¦ 1.7K Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 14M / month Β· πŸ“¦ 1.7K Β· ⏱️ 26.11.2024): ``` pip install keras ``` @@ -167,14 +167,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge keras ```
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jax (πŸ₯‡46 Β· ⭐ 31K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
jax (πŸ₯‡46 Β· ⭐ 31K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 810 Β· πŸ”€ 2.8K Β· πŸ“¦ 34K Β· πŸ“‹ 5.8K - 25% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 810 Β· πŸ”€ 2.8K Β· πŸ“¦ 35K Β· πŸ“‹ 5.8K - 25% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.8M / month Β· πŸ“¦ 2.1K Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.7M / month Β· πŸ“¦ 2.1K Β· ⏱️ 17.12.2024): ``` pip install jax ``` @@ -185,12 +185,12 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (πŸ₯‡46 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.7K Β· πŸ“₯ 13K Β· πŸ“¦ 120K Β· πŸ“‹ 5.4K - 8% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.7K Β· πŸ“₯ 13K Β· πŸ“¦ 120K Β· πŸ“‹ 5.4K - 8% open Β· ⏱️ 21.12.2024): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 26M / month Β· πŸ“¦ 2.1K Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 25M / month Β· πŸ“¦ 2.1K Β· ⏱️ 26.11.2024): ``` pip install xgboost ``` @@ -201,7 +201,7 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡45 Β· ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.6K Β· πŸ“₯ 15K Β· πŸ“¦ 6.6K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.6K Β· πŸ“₯ 15K Β· πŸ“¦ 6.6K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -213,12 +213,12 @@ _General-purpose machine learning and deep learning frameworks._
StatsModels (πŸ₯‡45 Β· ⭐ 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.1K Β· πŸ“₯ 35 Β· πŸ“¦ 150K Β· πŸ“‹ 5.7K - 50% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.1K Β· πŸ“₯ 35 Β· πŸ“¦ 150K Β· πŸ“‹ 5.7K - 50% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 16M / month Β· πŸ“¦ 4.5K Β· ⏱️ 03.10.2024): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 15M / month Β· πŸ“¦ 4.5K Β· ⏱️ 03.10.2024): ``` pip install statsmodels ``` @@ -229,60 +229,60 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯ˆ44 Β· ⭐ 40K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 28K Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 28K Β· ⏱️ 26.12.2024): ``` git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 31M / month Β· πŸ“¦ 1.6K Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 31M / month Β· πŸ“¦ 1.7K Β· ⏱️ 20.12.2024): ``` pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.6M Β· ⏱️ 16.12.2024): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.6M Β· ⏱️ 21.12.2024): ``` conda install -c conda-forge pyspark ```
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pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 +
pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 29K Β· πŸ“‰) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 990 Β· πŸ”€ 3.4K Β· πŸ“₯ 11K Β· πŸ“¦ 40K Β· πŸ“‹ 7.2K - 11% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 990 Β· πŸ”€ 3.4K Β· πŸ“₯ 11K Β· πŸ“¦ 40K Β· πŸ“‹ 7.2K - 11% open Β· ⏱️ 21.12.2024): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 6.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 6.5M / month Β· πŸ“¦ 1.5K Β· ⏱️ 21.12.2024): ``` pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.4M Β· ⏱️ 13.12.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.4M Β· ⏱️ 22.12.2024): ``` conda install -c conda-forge pytorch-lightning ```
LightGBM (πŸ₯ˆ43 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 240K Β· πŸ“¦ 42K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 240K Β· πŸ“¦ 42K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 22.12.2024): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 11M / month Β· πŸ“¦ 1.1K Β· ⏱️ 26.07.2024): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 9.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 26.07.2024): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 2.9M Β· ⏱️ 10.10.2024): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 3M Β· ⏱️ 10.10.2024): ``` conda install -c conda-forge lightgbm ```
Catboost (πŸ₯ˆ42 Β· ⭐ 8.2K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 330K Β· πŸ“¦ 16 Β· πŸ“‹ 2.4K - 24% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 340K Β· πŸ“¦ 16 Β· πŸ“‹ 2.4K - 24% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 3.6M / month Β· πŸ“¦ 540 Β· ⏱️ 07.09.2024): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 3.3M / month Β· πŸ“¦ 540 Β· ⏱️ 07.09.2024): ``` pip install catboost ``` @@ -291,26 +291,26 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge catboost ```
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Fastai (πŸ₯ˆ41 Β· ⭐ 26K) - The fastai deep learning library. Apache-2 +
Fastai (πŸ₯ˆ40 Β· ⭐ 26K Β· πŸ“‰) - The fastai deep learning library. Apache-2 - [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 7.6K Β· πŸ“¦ 20K Β· πŸ“‹ 1.8K - 12% open Β· ⏱️ 14.12.2024): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 520K / month Β· πŸ“¦ 310 Β· ⏱️ 19.10.2024): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 430K / month Β· πŸ“¦ 310 Β· ⏱️ 19.10.2024): ``` pip install fastai ```
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PyFlink (πŸ₯ˆ40 Β· ⭐ 24K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 +
PyFlink (πŸ₯ˆ40 Β· ⭐ 24K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 26.12.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 32M / month Β· πŸ“¦ 35 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 38M / month Β· πŸ“¦ 35 Β· ⏱️ 01.08.2024): ``` pip install apache-flink ``` @@ -322,7 +322,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 940K / month Β· πŸ“¦ 490 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 990K / month Β· πŸ“¦ 490 Β· ⏱️ 19.11.2024): ``` pip install flax ``` @@ -338,7 +338,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 90K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 79K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -347,34 +347,34 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge theano ```
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Jina (πŸ₯ˆ36 Β· ⭐ 21K Β· πŸ“‰) - Build multimodal AI applications with cloud-native stack. Apache-2 +
Jina (πŸ₯ˆ36 Β· ⭐ 21K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/jina-ai/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 12.11.2024): +- [GitHub](https://github.com/jina-ai/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 76K / month Β· πŸ“¦ 27 Β· ⏱️ 08.11.2024): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 65K / month Β· πŸ“¦ 27 Β· ⏱️ 20.12.2024): ``` pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 82K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 83K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.8M Β· ⭐ 8 Β· ⏱️ 12.11.2024): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.8M Β· ⭐ 8 Β· ⏱️ 20.12.2024): ``` docker pull jinaai/jina ```
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einops (πŸ₯ˆ35 Β· ⭐ 8.6K Β· πŸ“‰) - Flexible and powerful tensor operations for readable and reliable code.. MIT +
einops (πŸ₯ˆ35 Β· ⭐ 8.6K) - Flexible and powerful tensor operations for readable and reliable code.. MIT - [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 350 Β· πŸ“¦ 55K Β· πŸ“‹ 180 - 17% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.4M / month Β· πŸ“¦ 2K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.2M / month Β· πŸ“¦ 2K Β· ⏱️ 28.04.2024): ``` pip install einops ``` @@ -390,7 +390,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 120K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 59K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): ``` pip install vowpalwabbit ``` @@ -399,30 +399,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge vowpalwabbit ```
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mlpack (πŸ₯ˆ35 Β· ⭐ 5.2K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 - -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 13.12.2024): - - ``` - git clone https://github.com/mlpack/mlpack - ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 6K / month Β· πŸ“¦ 6 Β· ⏱️ 11.12.2024): - ``` - pip install mlpack - ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 280K Β· ⏱️ 22.09.2024): - ``` - conda install -c conda-forge mlpack - ``` -
Ignite (πŸ₯ˆ35 Β· ⭐ 4.6K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 620 Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 620 Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 19.12.2024): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 130K / month Β· πŸ“¦ 100 Β· ⏱️ 26.12.2024): ``` pip install pytorch-ignite ``` @@ -433,12 +417,12 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (πŸ₯ˆ35 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 280 Β· πŸ“₯ 520 Β· πŸ“¦ 58K Β· πŸ“‹ 150 - 14% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 280 Β· πŸ“₯ 570 Β· πŸ“¦ 58K Β· πŸ“‹ 150 - 14% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 13M / month Β· πŸ“¦ 150 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 12M / month Β· πŸ“¦ 150 Β· ⏱️ 16.12.2024): ``` pip install thinc ``` @@ -447,6 +431,22 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ```
+
mlpack (πŸ₯ˆ34 Β· ⭐ 5.2K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 + +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 23.12.2024): + + ``` + git clone https://github.com/mlpack/mlpack + ``` +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 5K / month Β· πŸ“¦ 6 Β· ⏱️ 11.12.2024): + ``` + pip install mlpack + ``` +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 280K Β· ⏱️ 22.09.2024): + ``` + conda install -c conda-forge mlpack + ``` +
Ludwig (πŸ₯‰33 Β· ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 - [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“¦ 290 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 17.10.2024): @@ -454,7 +454,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 1.9K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 1.8K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): ``` pip install ludwig ``` @@ -466,11 +466,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 260K / month Β· πŸ“¦ 180 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 220K / month Β· πŸ“¦ 180 Β· ⏱️ 16.10.2024): ``` pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 26K Β· ⏱️ 23.10.2024): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 26K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge dm-haiku ``` @@ -482,7 +482,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 19K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 18K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` @@ -498,7 +498,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 150K / month Β· πŸ“¦ 85 Β· ⏱️ 27.05.2024): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 85 Β· ⏱️ 27.05.2024): ``` pip install skorch ``` @@ -509,12 +509,12 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 95 Β· πŸ“₯ 26 Β· πŸ“‹ 380 - 18% open Β· ⏱️ 06.12.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 95 Β· πŸ“₯ 26 Β· πŸ“‹ 380 - 18% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 6.6K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 6.7K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): ``` pip install tensorflow-rocm ``` @@ -526,23 +526,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 19K / month Β· πŸ“¦ 4 Β· ⏱️ 22.11.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 18K / month Β· πŸ“¦ 4 Β· ⏱️ 22.11.2024): ``` pip install determined ```
Geomstats (πŸ₯‰30 Β· ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 250 Β· πŸ“¦ 130 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 18.12.2024): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.5K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 4K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 4.4K Β· ⏱️ 10.09.2024): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 4.5K Β· ⏱️ 10.09.2024): ``` conda install -c conda-forge geomstats ``` @@ -554,7 +554,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/numenta/nupic ``` -- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 2.3K / month Β· ⏱️ 01.09.2016): +- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 1.7K / month Β· ⏱️ 01.09.2016): ``` pip install nupic ``` @@ -566,7 +566,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 10K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 9.5K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): ``` pip install nnabla ``` @@ -578,23 +578,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 940 / month Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 840 / month Β· ⏱️ 19.11.2023): ``` pip install evadb ```
pyRiemann (πŸ₯‰27 Β· ⭐ 650) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 160 Β· πŸ“¦ 410 Β· πŸ“‹ 110 - 4% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 160 Β· πŸ“¦ 420 Β· πŸ“‹ 110 - 4% open Β· ⏱️ 17.12.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 30K / month Β· πŸ“¦ 28 Β· ⏱️ 03.10.2024): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 27K / month Β· πŸ“¦ 28 Β· ⏱️ 03.10.2024): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 9.2K Β· ⏱️ 04.10.2024): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 9.3K Β· ⏱️ 04.10.2024): ``` conda install -c conda-forge pyriemann ``` @@ -606,7 +606,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 16K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 19K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ``` @@ -634,7 +634,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 7.5K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 7K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): ``` pip install ktrain ``` @@ -646,7 +646,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.8K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): ``` pip install neural-tangents ``` @@ -658,19 +658,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2K / month Β· ⏱️ 14.08.2024): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 1.8K / month Β· ⏱️ 14.08.2024): ``` pip install fklearn ```
Runhouse (πŸ₯‰24 Β· ⭐ 990) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2 -- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 35 Β· πŸ“₯ 67 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 36 Β· πŸ“₯ 68 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/run-house/runhouse ``` -- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 35K / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2024): +- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 37K / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2024): ``` pip install runhouse ``` @@ -682,7 +682,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 1.9K / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 1.4K / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ``` @@ -694,7 +694,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 6.2K / month Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 6.7K / month Β· ⏱️ 30.10.2024): ``` pip install chefboost ``` @@ -714,7 +714,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 740 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 640 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): ``` pip install objax ``` @@ -726,7 +726,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 480 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 410 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ``` @@ -738,7 +738,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 760 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 700 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -750,17 +750,17 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 2K / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 1.2K / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ```
Show 17 hidden projects... -- dlib (πŸ₯ˆ40 Β· ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 +- dlib (πŸ₯ˆ39 Β· ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - ivy (πŸ₯ˆ35 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. ❗️Intel-ACPI -- Chainer (πŸ₯‰34 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT +- Chainer (πŸ₯ˆ34 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - MindsDB (πŸ₯‰33 Β· ⭐ 27K) - Platform for building AI that can learn and answer.. ❗️MulanPSL-1.0 - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - tensorpack (πŸ₯‰32 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 @@ -772,8 +772,8 @@ _General-purpose machine learning and deep learning frameworks._ - xLearn (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - elegy (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT -- StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT -- nanodl (πŸ₯‰15 Β· ⭐ 280) - A Jax-based library for designing and training transformer models from.. MIT +- StarSpace (πŸ₯‰16 Β· ⭐ 4K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT +- nanodl (πŸ₯‰14 Β· ⭐ 280) - A Jax-based library for designing and training transformer models from.. MIT

@@ -785,12 +785,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡48 Β· ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.7K Β· πŸ“¦ 1.5M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.7K Β· πŸ“¦ 1.5M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 74M / month Β· πŸ“¦ 53K Β· ⏱️ 14.12.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 70M / month Β· πŸ“¦ 53K Β· ⏱️ 14.12.2024): ``` pip install matplotlib ``` @@ -799,34 +799,34 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge matplotlib ```
-
Plotly (πŸ₯‡46 Β· ⭐ 16K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT +
Plotly (πŸ₯‡46 Β· ⭐ 16K) - The interactive graphing library for Python This project now includes.. MIT - [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.6K Β· πŸ“¦ 340K Β· πŸ“‹ 3.1K - 18% open Β· ⏱️ 17.12.2024): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 21M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 19M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 7.8M Β· ⏱️ 09.12.2024): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 7.9M Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 8.8K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 18K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 96K Β· πŸ“‹ 7.8K - 10% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 96K Β· πŸ“‹ 7.8K - 10% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.2M / month Β· πŸ“¦ 1.8K Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.8M / month Β· πŸ“¦ 1.8K Β· ⏱️ 03.12.2024): ``` pip install bokeh ``` @@ -837,12 +837,12 @@ _General-purpose and task-specific data visualization libraries._
dash (πŸ₯‡43 Β· ⭐ 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“₯ 87 Β· πŸ“¦ 74K Β· πŸ“‹ 1.9K - 26% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“₯ 87 Β· πŸ“¦ 75K Β· πŸ“‹ 1.9K - 26% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 4.7M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.11.2024): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 4.5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.11.2024): ``` pip install dash ``` @@ -851,14 +851,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dash ```
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Altair (πŸ₯‡43 Β· ⭐ 9.5K) - Declarative visualization library for Python. BSD-3 +
Altair (πŸ₯‡42 Β· ⭐ 9.5K Β· πŸ“‰) - Declarative visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 800 Β· πŸ“₯ 220 Β· πŸ“¦ 180K Β· πŸ“‹ 2K - 9% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 800 Β· πŸ“₯ 220 Β· πŸ“¦ 190K Β· πŸ“‹ 2K - 9% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 25M / month Β· πŸ“¦ 920 Β· ⏱️ 23.11.2024): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 24M / month Β· πŸ“¦ 920 Β· ⏱️ 23.11.2024): ``` pip install altair ``` @@ -867,14 +867,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge altair ```
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Seaborn (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“‰) - Statistical data visualization in Python. BSD-3 +
Seaborn (πŸ₯‡41 Β· ⭐ 13K) - Statistical data visualization in Python. BSD-3 - [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 460 Β· πŸ“¦ 530K Β· πŸ“‹ 2.6K - 7% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 20M / month Β· πŸ“¦ 11K Β· ⏱️ 25.01.2024): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 19M / month Β· πŸ“¦ 11K Β· ⏱️ 25.01.2024): ``` pip install seaborn ``` @@ -885,7 +885,7 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (πŸ₯ˆ38 Β· ⭐ 15K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 71 Β· πŸ“¦ 4.7K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.11.2024): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 72 Β· πŸ“¦ 4.7K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.11.2024): ``` git clone https://github.com/pyecharts/pyecharts @@ -895,34 +895,30 @@ _General-purpose and task-specific data visualization libraries._ pip install pyecharts ```
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HoloViews (πŸ₯ˆ38 Β· ⭐ 2.7K) - With Holoviews, your data visualizes itself. BSD-3 +
PyVista (πŸ₯ˆ38 Β· ⭐ 2.8K Β· πŸ“ˆ) - 3D plotting and mesh analysis through a streamlined interface.. MIT -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 13K Β· πŸ“‹ 3.4K - 33% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“₯ 850 Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.8K - 36% open Β· ⏱️ 22.12.2024): ``` - git clone https://github.com/holoviz/holoviews - ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 440K / month Β· πŸ“¦ 400 Β· ⏱️ 11.11.2024): - ``` - pip install holoviews + git clone https://github.com/pyvista/pyvista ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.9M Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 400K / month Β· πŸ“¦ 580 Β· ⏱️ 27.11.2024): ``` - conda install -c conda-forge holoviews + pip install pyvista ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 200 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 600K Β· ⏱️ 15.12.2024): ``` - npm install @pyviz/jupyterlab_pyviz + conda install -c conda-forge pyvista ```
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pandas-profiling (πŸ₯ˆ37 Β· ⭐ 13K Β· πŸ“‰) - 1 Line of code data quality profiling & exploratory.. MIT +
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 220 Β· πŸ“¦ 4.9K Β· πŸ“‹ 810 - 28% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 220 Β· πŸ“¦ 4.9K Β· πŸ“‹ 820 - 28% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 440K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 430K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -933,40 +929,44 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (πŸ₯ˆ37 Β· ⭐ 9K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 570 Β· πŸ“¦ 770 Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 580 Β· πŸ“¦ 770 Β· πŸ“‹ 1.6K - 32% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 73K / month Β· πŸ“¦ 24 Β· ⏱️ 06.12.2024): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 110K / month Β· πŸ“¦ 25 Β· ⏱️ 20.12.2024): ``` pip install fiftyone ```
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plotnine (πŸ₯ˆ37 Β· ⭐ 4.1K) - A Grammar of Graphics for Python. MIT +
HoloViews (πŸ₯ˆ37 Β· ⭐ 2.7K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 230 Β· πŸ“¦ 9.8K Β· πŸ“‹ 700 - 11% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 400 Β· πŸ“¦ 13K Β· πŸ“‹ 3.4K - 33% open Β· ⏱️ 20.12.2024): ``` - git clone https://github.com/has2k1/plotnine + git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3.4M / month Β· πŸ“¦ 330 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 400K / month Β· πŸ“¦ 400 Β· ⏱️ 11.11.2024): ``` - pip install plotnine + pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 430K Β· ⏱️ 16.12.2024): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.9M Β· ⏱️ 13.12.2024): ``` - conda install -c conda-forge plotnine + conda install -c conda-forge holoviews + ``` +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 160 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): + ``` + npm install @pyviz/jupyterlab_pyviz ```
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PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 11K Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 06.11.2024): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 500K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 330K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): ``` pip install pyqtgraph ``` @@ -975,98 +975,98 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pyqtgraph ```
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PyVista (πŸ₯ˆ37 Β· ⭐ 2.8K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT +
UMAP (πŸ₯ˆ35 Β· ⭐ 7.5K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“₯ 840 Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.8K - 36% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 810 Β· πŸ“¦ 1 Β· πŸ“‹ 820 - 58% open Β· ⏱️ 29.11.2024): ``` - git clone https://github.com/pyvista/pyvista + git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 400K / month Β· πŸ“¦ 580 Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.7M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): ``` - pip install pyvista + pip install umap-learn ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 600K Β· ⏱️ 15.12.2024): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.8M Β· ⏱️ 29.10.2024): ``` - conda install -c conda-forge pyvista + conda install -c conda-forge umap-learn ```
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cartopy (πŸ₯ˆ36 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 +
plotnine (πŸ₯ˆ35 Β· ⭐ 4.1K Β· πŸ“‰) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 6.2K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 10.12.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 230 Β· πŸ“¦ 9.9K Β· πŸ“‹ 700 - 11% open Β· ⏱️ 16.12.2024): ``` - git clone https://github.com/SciTools/cartopy + git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 410K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3.2M / month Β· πŸ“¦ 330 Β· ⏱️ 16.12.2024): ``` - pip install cartopy + pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.3M Β· ⏱️ 07.10.2024): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 430K Β· ⏱️ 16.12.2024): ``` - conda install -c conda-forge cartopy + conda install -c conda-forge plotnine ```
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UMAP (πŸ₯ˆ35 Β· ⭐ 7.5K) - Uniform Manifold Approximation and Projection. BSD-3 +
Graphviz (πŸ₯ˆ35 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 810 Β· πŸ“¦ 1 Β· πŸ“‹ 820 - 58% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 79K Β· πŸ“‹ 180 - 6% open Β· ⏱️ 13.05.2024): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 2M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 16M / month Β· πŸ“¦ 2.6K Β· ⏱️ 21.03.2024): ``` - pip install umap-learn + pip install graphviz ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.7M Β· ⏱️ 29.10.2024): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 51K Β· ⏱️ 08.04.2024): ``` - conda install -c conda-forge umap-learn + conda install -c anaconda python-graphviz ```
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Graphviz (πŸ₯ˆ35 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT +
cartopy (πŸ₯ˆ35 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 78K Β· πŸ“‹ 180 - 6% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 6.2K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 10.12.2024): ``` - git clone https://github.com/xflr6/graphviz + git clone https://github.com/SciTools/cartopy ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 18M / month Β· πŸ“¦ 2.6K Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 360K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): ``` - pip install graphviz + pip install cartopy ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 51K Β· ⏱️ 08.04.2024): +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.3M Β· ⏱️ 07.10.2024): ``` - conda install -c anaconda python-graphviz + conda install -c conda-forge cartopy ```
Perspective (πŸ₯ˆ34 Β· ⭐ 8.7K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“₯ 7.3K Β· πŸ“¦ 160 Β· πŸ“‹ 840 - 13% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“₯ 7.5K Β· πŸ“¦ 160 Β· πŸ“‹ 840 - 13% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 15K / month Β· πŸ“¦ 28 Β· ⏱️ 10.12.2024): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 13K / month Β· πŸ“¦ 28 Β· ⏱️ 23.12.2024): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 1.4M Β· ⏱️ 12.12.2024): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 1.4M Β· ⏱️ 25.12.2024): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 1.9K / month Β· πŸ“¦ 6 Β· ⏱️ 10.12.2024): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 960 / month Β· πŸ“¦ 6 Β· ⏱️ 23.12.2024): ``` npm install @finos/perspective-jupyterlab ```
datashader (πŸ₯ˆ34 Β· ⭐ 3.3K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 370 Β· πŸ“¦ 5.2K Β· πŸ“‹ 590 - 23% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 370 Β· πŸ“¦ 5.3K Β· πŸ“‹ 590 - 23% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 160K / month Β· πŸ“¦ 200 Β· ⏱️ 04.07.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 140K / month Β· πŸ“¦ 200 Β· ⏱️ 04.07.2024): ``` pip install datashader ``` @@ -1075,50 +1075,50 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge datashader ```
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VisPy (πŸ₯ˆ34 Β· ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3 +
wordcloud (πŸ₯ˆ33 Β· ⭐ 10K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 09.11.2024): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 23% open Β· ⏱️ 10.11.2024): ``` - git clone https://github.com/vispy/vispy - ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 710K / month Β· πŸ“¦ 170 Β· ⏱️ 17.06.2024): - ``` - pip install vispy + git clone https://github.com/amueller/word_cloud ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 660K Β· ⏱️ 04.09.2024): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.9M / month Β· πŸ“¦ 550 Β· ⏱️ 10.11.2024): ``` - conda install -c conda-forge vispy + pip install wordcloud ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 15 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 580K Β· ⏱️ 02.12.2024): ``` - npm install vispy + conda install -c conda-forge wordcloud ```
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wordcloud (πŸ₯ˆ33 Β· ⭐ 10K) - A little word cloud generator in Python. MIT +
VisPy (πŸ₯ˆ33 Β· ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 23% open Β· ⏱️ 10.11.2024): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 09.11.2024): ``` - git clone https://github.com/amueller/word_cloud + git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.9M / month Β· πŸ“¦ 550 Β· ⏱️ 10.11.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 17.06.2024): ``` - pip install wordcloud + pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 580K Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 670K Β· ⏱️ 04.09.2024): ``` - conda install -c conda-forge wordcloud + conda install -c conda-forge vispy + ``` +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 9 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): + ``` + npm install vispy ```
lets-plot (πŸ₯ˆ32 Β· ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 52 Β· πŸ“₯ 1.4K Β· πŸ“¦ 150 Β· πŸ“‹ 650 - 24% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 53 Β· πŸ“₯ 1.4K Β· πŸ“¦ 150 Β· πŸ“‹ 650 - 24% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 50K / month Β· πŸ“¦ 15 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 46K / month Β· πŸ“¦ 15 Β· ⏱️ 17.12.2024): ``` pip install lets-plot ``` @@ -1130,7 +1130,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 200K / month Β· πŸ“¦ 220 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 180K / month Β· πŸ“¦ 220 Β· ⏱️ 16.12.2024): ``` pip install hvplot ``` @@ -1146,11 +1146,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 90K / month Β· πŸ“¦ 48 Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 74K / month Β· πŸ“¦ 48 Β· ⏱️ 13.12.2024): ``` pip install dtale ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 360K Β· ⏱️ 13.12.2024): +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 370K Β· ⏱️ 13.12.2024): ``` conda install -c conda-forge dtale ``` @@ -1162,27 +1162,27 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 340K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 310K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` -- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 220K Β· ⏱️ 23.12.2023): +- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 220K Β· ⏱️ 19.12.2024): ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1.1K / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 860 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
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bqplot (πŸ₯‰29 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 +
bqplot (πŸ₯‰30 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 460 Β· πŸ“¦ 59 Β· πŸ“‹ 640 - 42% open Β· ⏱️ 22.10.2024): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 470 Β· πŸ“¦ 59 Β· πŸ“‹ 640 - 42% open Β· ⏱️ 22.10.2024): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 210K / month Β· πŸ“¦ 99 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 180K / month Β· πŸ“¦ 110 Β· ⏱️ 24.12.2024): ``` pip install bqplot ``` @@ -1190,7 +1190,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 2.4K / month Β· πŸ“¦ 21 Β· ⏱️ 25.03.2024): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3.2K / month Β· πŸ“¦ 21 Β· ⏱️ 24.12.2024): ``` npm install bqplot ``` @@ -1202,23 +1202,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.3K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): ``` pip install chartify ``` -- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 34K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 35K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge chartify ```
openTSNE (πŸ₯‰27 Β· ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 160 Β· πŸ“¦ 940 Β· πŸ“‹ 140 - 6% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 160 Β· πŸ“¦ 950 Β· πŸ“‹ 140 - 6% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 46K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 40K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): ``` pip install opentsne ``` @@ -1227,18 +1227,6 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge opentsne ```
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HyperTools (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT - -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 57 Β· πŸ“¦ 490 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): - - ``` - git clone https://github.com/ContextLab/hypertools - ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): - ``` - pip install hypertools - ``` -
Plotly-Resampler (πŸ₯‰26 Β· ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT - [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 69 Β· πŸ“¦ 1.6K Β· πŸ“‹ 170 - 32% open Β· ⏱️ 15.12.2024): @@ -1246,11 +1234,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 480K / month Β· πŸ“¦ 24 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 440K / month Β· πŸ“¦ 24 Β· ⏱️ 27.03.2024): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 81K Β· ⏱️ 05.12.2024): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 82K Β· ⏱️ 05.12.2024): ``` conda install -c conda-forge plotly-resampler ``` @@ -1267,18 +1255,30 @@ _General-purpose and task-specific data visualization libraries._ pip install tensorflow-data-validation ```
+
HyperTools (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT + +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 59 Β· πŸ“¦ 490 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): + + ``` + git clone https://github.com/ContextLab/hypertools + ``` +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 950 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): + ``` + pip install hypertools + ``` +
AutoViz (πŸ₯‰25 Β· ⭐ 1.8K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 790 Β· πŸ“‹ 95 - 4% open Β· ⏱️ 10.06.2024): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 800 Β· πŸ“‹ 95 - 4% open Β· ⏱️ 10.06.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 20K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 18K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 71K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 72K Β· ⏱️ 26.04.2024): ``` conda install -c conda-forge autoviz ``` @@ -1290,7 +1290,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 18K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 17K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1306,7 +1306,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 10K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 11K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): ``` pip install vega ``` @@ -1322,31 +1322,31 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 1.5K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 1.4K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 57K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 58K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ```
vegafusion (πŸ₯‰23 Β· ⭐ 340) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 18 Β· πŸ“₯ 9K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 18 Β· πŸ“₯ 9.2K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/vegafusion/vegafusion ``` -- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): ``` pip install vegafusion-jupyter ``` -- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 290K Β· ⏱️ 31.10.2024): +- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 300K Β· ⏱️ 31.10.2024): ``` conda install -c conda-forge vegafusion-python-embed ``` -- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 180 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): +- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 29 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): ``` npm install vegafusion-jupyter ``` @@ -1358,7 +1358,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): ``` pip install ivis ``` @@ -1370,7 +1370,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/gyli/PyWaffle ``` -- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 9.9K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): +- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 10K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): ``` pip install pywaffle ``` @@ -1386,7 +1386,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/t-makaro/animatplot ``` -- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 600 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): +- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 400 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): ``` pip install animatplot ``` @@ -1401,15 +1401,15 @@ _General-purpose and task-specific data visualization libraries._ - Cufflinks (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - pythreejs (πŸ₯‰28 Β· ⭐ 960 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 - Facets Overview (πŸ₯‰27 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 -- Sweetviz (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT -- ridgeplot (πŸ₯‰25 Β· ⭐ 190) - Beautiful ridgeline plots in Python. MIT +- Sweetviz (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT +- ridgeplot (πŸ₯‰25 Β· ⭐ 200) - Beautiful ridgeline plots in Python. MIT - HiPlot (πŸ₯‰24 Β· ⭐ 2.8K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT - PandasGUI (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT -- joypy (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT +- joypy (πŸ₯‰21 Β· ⭐ 570 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - PDPbox (πŸ₯‰20 Β· ⭐ 850 Β· πŸ’€) - python partial dependence plot toolbox. MIT -- Popmon (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT +- Popmon (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT @@ -1425,28 +1425,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡52 Β· ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 27K Β· πŸ“¦ 260K Β· πŸ“‹ 17K - 8% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 27K Β· πŸ“¦ 260K Β· πŸ“‹ 17K - 8% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 49M / month Β· πŸ“¦ 7.1K Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 47M / month Β· πŸ“¦ 7.1K Β· ⏱️ 17.12.2024): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.3M Β· ⏱️ 18.12.2024): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.4M Β· ⏱️ 18.12.2024): ``` conda install -c conda-forge transformers ```
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spaCy (πŸ₯‡45 Β· ⭐ 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
spaCy (πŸ₯‡45 Β· ⭐ 31K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 990 Β· πŸ“¦ 110K Β· πŸ“‹ 5.7K - 2% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.1K Β· πŸ“¦ 110K Β· πŸ“‹ 5.7K - 2% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 15M / month Β· πŸ“¦ 2.8K Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 14M / month Β· πŸ“¦ 2.8K Β· ⏱️ 11.12.2024): ``` pip install spacy ``` @@ -1455,26 +1455,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy ```
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litellm (πŸ₯‡44 Β· ⭐ 15K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +
litellm (πŸ₯‡43 Β· ⭐ 15K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.8K Β· πŸ“₯ 470 Β· πŸ“¦ 5.3K Β· πŸ“‹ 4K - 23% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.8K Β· πŸ“₯ 480 Β· πŸ“¦ 5.5K Β· πŸ“‹ 4K - 24% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 3.4M / month Β· πŸ“¦ 630 Β· ⏱️ 19.12.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 3.1M / month Β· πŸ“¦ 650 Β· ⏱️ 25.12.2024): ``` pip install litellm ```
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nltk (πŸ₯‡44 Β· ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
nltk (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“‰) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.9K Β· πŸ“¦ 330K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 11.11.2024): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 25M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 24M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): ``` pip install nltk ``` @@ -1485,32 +1485,32 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentence-transformers (πŸ₯‡41 Β· ⭐ 16K) - State-of-the-Art Text Embeddings. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“¦ 61K Β· πŸ“‹ 2.3K - 52% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“¦ 62K Β· πŸ“‹ 2.3K - 52% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 8.1M / month Β· πŸ“¦ 1.8K Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 7.8M / month Β· πŸ“¦ 1.8K Β· ⏱️ 18.11.2024): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 500K Β· ⏱️ 18.11.2024): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 500K Β· ⏱️ 21.12.2024): ``` conda install -c conda-forge sentence-transformers ```
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flair (πŸ₯‡41 Β· ⭐ 14K Β· πŸ“ˆ) - A very simple framework for state-of-the-art Natural Language.. MIT +
flair (πŸ₯‡41 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.4K - 5% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.3K - 4% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 100K / month Β· πŸ“¦ 140 Β· ⏱️ 25.07.2024): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 95K / month Β· πŸ“¦ 150 Β· ⏱️ 20.12.2024): ``` pip install flair ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 35K Β· ⏱️ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 36K Β· ⏱️ 05.01.2024): ``` conda install -c conda-forge python-flair ``` @@ -1522,7 +1522,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 36M / month Β· πŸ“¦ 1.1K Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 34M / month Β· πŸ“¦ 1.1K Β· ⏱️ 27.11.2024): ``` pip install tokenizers ``` @@ -1533,7 +1533,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
gensim (πŸ₯‡39 Β· ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 5.2K Β· πŸ“¦ 68K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 5.2K Β· πŸ“¦ 69K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/RaRe-Technologies/gensim @@ -1554,7 +1554,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 26M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 25M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): ``` pip install sentencepiece ``` @@ -1563,44 +1563,44 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentencepiece ```
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fairseq (πŸ₯‡37 Β· ⭐ 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT +
Rasa (πŸ₯‡37 Β· ⭐ 19K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.4K Β· πŸ“₯ 370 Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 18.10.2024): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 4.7K Β· πŸ“¦ 4.7K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 25.11.2024): ``` - git clone https://github.com/facebookresearch/fairseq - ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 130K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): - ``` - pip install fairseq + git clone https://github.com/RasaHQ/rasa ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 110K Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 210K / month Β· πŸ“¦ 60 Β· ⏱️ 18.04.2024): ``` - conda install -c conda-forge fairseq + pip install rasa ```
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Rasa (πŸ₯‡37 Β· ⭐ 19K) - Open source machine learning framework to automate text- and voice-.. Apache-2 +
NeMo (πŸ₯‡37 Β· ⭐ 13K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 4.7K Β· πŸ“¦ 4.7K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 2.6K Β· πŸ“₯ 280K Β· πŸ“¦ 21 Β· πŸ“‹ 2.4K - 5% open Β· ⏱️ 25.12.2024): ``` - git clone https://github.com/RasaHQ/rasa + git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 200K / month Β· πŸ“¦ 60 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 110K / month Β· πŸ“¦ 13 Β· ⏱️ 21.12.2024): ``` - pip install rasa + pip install nemo-toolkit ```
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NeMo (πŸ₯‡37 Β· ⭐ 12K) - A scalable generative AI framework built for researchers and.. Apache-2 +
fairseq (πŸ₯ˆ36 Β· ⭐ 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 2.6K Β· πŸ“₯ 280K Β· πŸ“¦ 21 Β· πŸ“‹ 2.4K - 5% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.4K Β· πŸ“₯ 370 Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 18.10.2024): ``` - git clone https://github.com/NVIDIA/NeMo + git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 130K / month Β· πŸ“¦ 13 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 120K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): ``` - pip install nemo-toolkit + pip install fairseq + ``` +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 110K Β· ⏱️ 24.11.2024): + ``` + conda install -c conda-forge fairseq ```
TextBlob (πŸ₯ˆ36 Β· ⭐ 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT @@ -1610,7 +1610,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.3M / month Β· πŸ“¦ 390 Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.2M / month Β· πŸ“¦ 390 Β· ⏱️ 15.02.2024): ``` pip install textblob ``` @@ -1619,40 +1619,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textblob ```
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spark-nlp (πŸ₯ˆ36 Β· ⭐ 3.9K) - State of the Art Natural Language Processing. Apache-2 +
TensorFlow Text (πŸ₯ˆ36 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 720 Β· πŸ“¦ 530 Β· πŸ“‹ 900 - 3% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 350 Β· πŸ“¦ 7.8K Β· πŸ“‹ 360 - 52% open Β· ⏱️ 18.12.2024): ``` - git clone https://github.com/JohnSnowLabs/spark-nlp + git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.1M / month Β· πŸ“¦ 37 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 9.2M / month Β· πŸ“¦ 220 Β· ⏱️ 16.12.2024): ``` - pip install spark-nlp + pip install tensorflow-text ```
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TensorFlow Text (πŸ₯ˆ36 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 +
haystack (πŸ₯ˆ35 Β· ⭐ 18K) - AI orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 350 Β· πŸ“¦ 7.7K Β· πŸ“‹ 360 - 52% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.9K Β· πŸ“¦ 720 Β· πŸ“‹ 3.6K - 3% open Β· ⏱️ 21.12.2024): ``` - git clone https://github.com/tensorflow/text + git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 9.3M / month Β· πŸ“¦ 220 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 5.8K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` - pip install tensorflow-text + pip install haystack ```
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haystack (πŸ₯ˆ35 Β· ⭐ 18K) - AI orchestration framework to build customizable, production-ready.. Apache-2 +
spark-nlp (πŸ₯ˆ35 Β· ⭐ 3.9K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.9K Β· πŸ“¦ 700 Β· πŸ“‹ 3.6K - 3% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 720 Β· πŸ“¦ 530 Β· πŸ“‹ 900 - 3% open Β· ⏱️ 20.12.2024): ``` - git clone https://github.com/deepset-ai/haystack + git clone https://github.com/JohnSnowLabs/spark-nlp ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6.3K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.1M / month Β· πŸ“¦ 37 Β· ⏱️ 18.12.2024): ``` - pip install haystack + pip install spark-nlp ```
fastText (πŸ₯ˆ34 Β· ⭐ 26K Β· πŸ’€) - Library for fast text representation and classification. MIT @@ -1662,7 +1662,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.6M / month Β· πŸ“¦ 250 Β· ⏱️ 12.06.2024): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.8M / month Β· πŸ“¦ 250 Β· ⏱️ 12.06.2024): ``` pip install fasttext ``` @@ -1671,20 +1671,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fasttext ```
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rubrix (πŸ₯ˆ34 Β· ⭐ 4.1K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 +
stanza (πŸ₯ˆ34 Β· ⭐ 7.3K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 380 Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 900 Β· πŸ“¦ 3.4K Β· πŸ“‹ 910 - 10% open Β· ⏱️ 24.12.2024): ``` - git clone https://github.com/recognai/rubrix + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 2K / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 250K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): ``` - pip install rubrix + pip install stanza ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 8.3K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge rubrix + conda install -c stanfordnlp stanza ```
qdrant (πŸ₯ˆ33 Β· ⭐ 21K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 @@ -1695,18 +1695,34 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/qdrant/qdrant ```
+
rubrix (πŸ₯ˆ33 Β· ⭐ 4.1K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 + +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 390 Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 20.12.2024): + + ``` + git clone https://github.com/recognai/rubrix + ``` +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.6K / month Β· ⏱️ 24.10.2022): + ``` + pip install rubrix + ``` +- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge rubrix + ``` +
ftfy (πŸ₯ˆ33 Β· ⭐ 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 120 Β· πŸ“₯ 26 Β· πŸ“¦ 25K Β· πŸ“‹ 140 - 5% open Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 120 Β· πŸ“₯ 26 Β· πŸ“¦ 26K Β· πŸ“‹ 140 - 5% open Β· ⏱️ 30.10.2024): ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.6M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.4M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): ``` pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 310K Β· ⏱️ 26.10.2024): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 310K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge ftfy ``` @@ -1718,7 +1734,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 1M / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 970K / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): ``` pip install torchtext ``` @@ -1730,7 +1746,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 6.8M / month Β· πŸ“¦ 280 Β· ⏱️ 14.12.2024): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 6.4M / month Β· πŸ“¦ 280 Β· ⏱️ 14.12.2024): ``` pip install jellyfish ``` @@ -1739,22 +1755,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge jellyfish ```
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stanza (πŸ₯ˆ32 Β· ⭐ 7.3K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 - -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 900 Β· πŸ“¦ 3.3K Β· πŸ“‹ 910 - 11% open Β· ⏱️ 12.09.2024): - - ``` - git clone https://github.com/stanfordnlp/stanza - ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 270K / month Β· πŸ“¦ 180 Β· ⏱️ 12.09.2024): - ``` - pip install stanza - ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 8.3K Β· ⏱️ 16.06.2023): - ``` - conda install -c stanfordnlp stanza - ``` -
OpenNMT (πŸ₯ˆ32 Β· ⭐ 6.8K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT - [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 300 Β· πŸ“‹ 1.5K - 1% open Β· ⏱️ 27.06.2024): @@ -1762,7 +1762,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 16K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 15K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): ``` pip install OpenNMT-py ``` @@ -1774,27 +1774,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): ``` pip install deeppavlov ```
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snowballstemmer (πŸ₯ˆ31 Β· ⭐ 760) - Snowball compiler and stemming algorithms. BSD-3 - -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 90 - 27% open Β· ⏱️ 20.11.2024): - - ``` - git clone https://github.com/snowballstem/snowball - ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 26M / month Β· πŸ“¦ 450 Β· ⏱️ 16.11.2021): - ``` - pip install snowballstemmer - ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge snowballstemmer - ``` -
Dedupe (πŸ₯ˆ30 Β· ⭐ 4.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT - [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 550 Β· πŸ“¦ 350 Β· πŸ“‹ 820 - 9% open Β· ⏱️ 01.11.2024): @@ -1802,11 +1786,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 93K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 89K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): ``` pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 87K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 88K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dedupe ``` @@ -1818,11 +1802,27 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 21K / month Β· πŸ“¦ 34 Β· ⏱️ 27.10.2024): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 22K / month Β· πŸ“¦ 34 Β· ⏱️ 27.10.2024): ``` pip install scispacy ```
+
snowballstemmer (πŸ₯ˆ30 Β· ⭐ 760) - Snowball compiler and stemming algorithms. BSD-3 + +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 90 - 27% open Β· ⏱️ 20.11.2024): + + ``` + git clone https://github.com/snowballstem/snowball + ``` +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 17M / month Β· πŸ“¦ 450 Β· ⏱️ 16.11.2021): + ``` + pip install snowballstemmer + ``` +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge snowballstemmer + ``` +
TextDistance (πŸ₯ˆ29 Β· ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 250 Β· πŸ“₯ 1K Β· πŸ“¦ 7.6K Β· ⏱️ 09.09.2024): @@ -1830,11 +1830,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 730K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 720K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 690K Β· ⏱️ 17.07.2024): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 700K Β· ⏱️ 17.07.2024): ``` conda install -c conda-forge textdistance ``` @@ -1846,23 +1846,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 270K / month Β· πŸ“¦ 87 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 230K / month Β· πŸ“¦ 87 Β· ⏱️ 25.04.2024): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 78K Β· ⏱️ 11.12.2024): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 80K Β· ⏱️ 11.12.2024): ``` conda install -c conda-forge spacy-transformers ```
Sumy (πŸ₯ˆ28 Β· ⭐ 3.5K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 3.3K Β· πŸ“‹ 120 - 18% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 3.4K Β· πŸ“‹ 120 - 18% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 170K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 120K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` @@ -1878,33 +1878,33 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 5.4K / month Β· πŸ“¦ 17 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 4.6K / month Β· πŸ“¦ 17 Β· ⏱️ 01.12.2024): ``` pip install cltk ```
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DeepKE (πŸ₯ˆ27 Β· ⭐ 3.6K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT +
Opik (πŸ₯ˆ27 Β· ⭐ 3.7K) - From RAG chatbots to code assistants to complex agentic pipelines and.. Apache-2 -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 690 Β· πŸ“¦ 24 Β· πŸ“‹ 580 - 1% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 24.12.2024): ``` - git clone https://github.com/zjunlp/deepke + git clone https://github.com/comet-ml/opik ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 2K / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 18.12.2024): ``` - pip install deepke + pip install opik ```
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Opik (πŸ₯ˆ27 Β· ⭐ 2.7K) - Open-source end-to-end LLM Development Platform. Apache-2 +
DeepKE (πŸ₯ˆ27 Β· ⭐ 3.7K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“‹ 110 - 23% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 690 Β· πŸ“¦ 24 Β· πŸ“‹ 590 - 1% open Β· ⏱️ 25.12.2024): ``` - git clone https://github.com/comet-ml/opik + git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 11K / month Β· πŸ“¦ 1 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1.9K / month Β· ⏱️ 21.09.2023): ``` - pip install opik + pip install deepke ```
english-words (πŸ₯‰26 Β· ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense @@ -1914,24 +1914,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 44K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 32K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): ``` pip install english-words ```
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PyTextRank (πŸ₯‰26 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT - -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 770 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): - - ``` - git clone https://github.com/DerwenAI/pytextrank - ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 81K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): - ``` - pip install pytextrank - ``` -
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scattertext (πŸ₯‰25 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 +
scattertext (πŸ₯‰26 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 640 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 23.09.2024): @@ -1947,6 +1935,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge scattertext ```
+
PyTextRank (πŸ₯‰26 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT + +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 770 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): + + ``` + git clone https://github.com/DerwenAI/pytextrank + ``` +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 73K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): + ``` + pip install pytextrank + ``` +
T5 (πŸ₯‰23 Β· ⭐ 6.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 750 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 28.06.2024): @@ -1954,11 +1954,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 31K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 28K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ```
+
detoxify (πŸ₯‰23 Β· ⭐ 980) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 + +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“₯ 780K Β· πŸ“¦ 750 Β· πŸ“‹ 66 - 56% open Β· ⏱️ 23.12.2024): + + ``` + git clone https://github.com/unitaryai/detoxify + ``` +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 30K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): + ``` + pip install detoxify + ``` +
fast-bert (πŸ₯‰22 Β· ⭐ 1.9K) - Super easy library for BERT based NLP models. Apache-2 - [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 19.08.2024): @@ -1966,7 +1978,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 2.5K / month Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 2.1K / month Β· ⏱️ 19.08.2024): ``` pip install fast-bert ``` @@ -1978,43 +1990,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.8K / month Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.5K / month Β· ⏱️ 03.03.2023): ``` pip install sockeye ```
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detoxify (πŸ₯‰22 Β· ⭐ 980) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
finetune (πŸ₯‰22 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 120 Β· πŸ“₯ 770K Β· πŸ“¦ 750 Β· πŸ“‹ 66 - 56% open Β· ⏱️ 19.09.2024): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 13 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 23.07.2024): ``` - git clone https://github.com/unitaryai/detoxify + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 33K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 490 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` - pip install detoxify + pip install finetune ```
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finetune (πŸ₯‰22 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
happy-transformer (πŸ₯‰22 Β· ⭐ 530 Β· πŸ’€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 13 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 23.07.2024): +- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 300 Β· πŸ“‹ 130 - 15% open Β· ⏱️ 19.03.2024): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 660 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` - pip install finetune + pip install happytransformer ```
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small-text (πŸ₯‰22 Β· ⭐ 600) - Active Learning for Text Classification in Python. MIT +
small-text (πŸ₯‰21 Β· ⭐ 600) - Active Learning for Text Classification in Python. MIT - [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 66 Β· πŸ“¦ 33 Β· πŸ“‹ 62 - 27% open Β· ⏱️ 24.11.2024): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 780 / month Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 560 / month Β· ⏱️ 24.11.2024): ``` pip install small-text ``` @@ -2023,26 +2035,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge small-text ```
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happy-transformer (πŸ₯‰22 Β· ⭐ 520 Β· πŸ’€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - -- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 67 Β· πŸ“¦ 300 Β· πŸ“‹ 130 - 15% open Β· ⏱️ 19.03.2024): - - ``` - git clone https://github.com/EricFillion/happy-transformer - ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.3K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): - ``` - pip install happytransformer - ``` -
UForm (πŸ₯‰19 Β· ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 62 Β· πŸ“₯ 490 Β· πŸ“¦ 6 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 01.10.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 63 Β· πŸ“₯ 500 Β· πŸ“¦ 6 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 890 / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 20.12.2024): ``` pip install uform ``` @@ -2055,25 +2055,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/thunlp/OpenNRE ```
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VizSeq (πŸ₯‰16 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 61 Β· πŸ“¦ 12 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 28.09.2024): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 150 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ```
Show 56 hidden projects... -- AllenNLP (πŸ₯ˆ36 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 +- AllenNLP (πŸ₯ˆ35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 - ChatterBot (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - ParlAI (πŸ₯ˆ32 Β· ⭐ 10K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT - fuzzywuzzy (πŸ₯ˆ32 Β· ⭐ 9.2K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 -- nlpaug (πŸ₯ˆ29 Β· ⭐ 4.5K Β· πŸ’€) - Data augmentation for NLP. MIT +- nlpaug (πŸ₯ˆ30 Β· ⭐ 4.5K Β· πŸ’€) - Data augmentation for NLP. MIT - GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - fastNLP (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - langid (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ’€) - Stand-alone language identification system. BSD-3 @@ -2096,12 +2096,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - sense2vec (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT - jiant (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - jiant is an nlp toolkit. MIT -- YouTokenToMe (πŸ₯‰23 Β· ⭐ 960 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - whoosh (πŸ₯‰23 Β· ⭐ 590 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 +- YouTokenToMe (πŸ₯‰22 Β· ⭐ 960 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - stop-words (πŸ₯‰22 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - DeepMatcher (πŸ₯‰20 Β· ⭐ 5.1K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 @@ -2136,12 +2136,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 2M Β· πŸ“‹ 3.3K - 4% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 2M Β· πŸ“‹ 3.3K - 4% open Β· ⏱️ 22.12.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 130M / month Β· πŸ“¦ 8.9K Β· ⏱️ 15.10.2024): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 120M / month Β· πŸ“¦ 8.9K Β· ⏱️ 15.10.2024): ``` pip install Pillow ``` @@ -2152,44 +2152,44 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PyTorch Image Models (πŸ₯‡42 Β· ⭐ 33K) - The largest collection of PyTorch image encoders /.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.8K Β· πŸ“₯ 7.3M Β· πŸ“¦ 43K Β· πŸ“‹ 940 - 4% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.8K Β· πŸ“₯ 7.4M Β· πŸ“¦ 44K Β· πŸ“‹ 940 - 5% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.8M / month Β· πŸ“¦ 1K Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1K Β· ⏱️ 03.12.2024): ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 280K Β· ⏱️ 17.12.2024): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 290K Β· ⏱️ 17.12.2024): ``` conda install -c conda-forge timm ```
torchvision (πŸ₯‡41 Β· ⭐ 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 7K Β· πŸ“₯ 40K Β· πŸ“¦ 21 Β· πŸ“‹ 3.5K - 29% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 7K Β· πŸ“₯ 40K Β· πŸ“¦ 21 Β· πŸ“‹ 3.5K - 29% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 16M / month Β· πŸ“¦ 5.9K Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 15M / month Β· πŸ“¦ 5.9K Β· ⏱️ 29.10.2024): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 2M Β· ⏱️ 18.12.2024): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 2M Β· ⏱️ 26.12.2024): ``` conda install -c conda-forge torchvision ```
Albumentations (πŸ₯‡41 Β· ⭐ 14K) - Fast and flexible image augmentation library. Paper about.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.7K Β· πŸ“¦ 30K Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.7K Β· πŸ“¦ 30K Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 5.3M / month Β· πŸ“¦ 620 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 5.1M / month Β· πŸ“¦ 620 Β· ⏱️ 24.12.2024): ``` pip install albumentations ``` @@ -2205,7 +2205,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1K Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 2.4M / month Β· πŸ“¦ 1K Β· ⏱️ 25.11.2024): ``` pip install moviepy ``` @@ -2216,7 +2216,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (πŸ₯‡39 Β· ⭐ 15K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 2.2K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.1K - 0% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 2.3K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.1K - 0% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/serengil/deepface @@ -2226,9 +2226,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install deepface ```
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Kornia (πŸ₯ˆ38 Β· ⭐ 10K Β· πŸ“ˆ) - Geometric Computer Vision Library for Spatial AI. Apache-2 +
Kornia (πŸ₯ˆ38 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 970 Β· πŸ“₯ 1.6K Β· πŸ“¦ 13K Β· πŸ“‹ 950 - 30% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 970 Β· πŸ“₯ 1.6K Β· πŸ“¦ 13K Β· πŸ“‹ 950 - 30% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/kornia/kornia @@ -2237,7 +2237,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 160K Β· ⏱️ 05.11.2024): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 160K Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge kornia ``` @@ -2249,7 +2249,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 28M / month Β· πŸ“¦ 2.5K Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 26M / month Β· πŸ“¦ 2.5K Β· ⏱️ 28.11.2024): ``` pip install imageio ``` @@ -2260,12 +2260,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
InsightFace (πŸ₯ˆ37 Β· ⭐ 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 5.4K Β· πŸ“₯ 5.8M Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.5K - 45% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 5.4K Β· πŸ“₯ 5.9M Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.5K - 45% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 250K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 240K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): ``` pip install insightface ``` @@ -2277,26 +2277,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 190K / month Β· πŸ“¦ 82 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month Β· πŸ“¦ 82 Β· ⏱️ 05.01.2024): ``` pip install mmdet ```
opencv-python (πŸ₯ˆ35 Β· ⭐ 4.6K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 850 Β· πŸ“¦ 480K Β· πŸ“‹ 830 - 16% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 850 Β· πŸ“¦ 490K Β· πŸ“‹ 830 - 16% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 15M / month Β· πŸ“¦ 10K Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 10K Β· ⏱️ 17.06.2024): ``` pip install opencv-python ```
detectron2 (πŸ₯ˆ34 Β· ⭐ 31K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.2K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 21.11.2024): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.2K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2305,79 +2305,63 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 500K Β· ⏱️ 06.11.2024): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 510K Β· ⏱️ 06.11.2024): ``` conda install -c conda-forge detectron2 ```
PaddleSeg (πŸ₯ˆ34 Β· ⭐ 8.8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.7K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.6K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
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Wand (πŸ₯ˆ34 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT +
Wand (πŸ₯ˆ33 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 20K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 1.1M / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 990K / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 92K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 94K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
vit-pytorch (πŸ₯ˆ32 Β· ⭐ 21K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 3.1K Β· πŸ“¦ 560 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 24.11.2024): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 3.1K Β· πŸ“¦ 570 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 21.12.2024): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 28K / month Β· πŸ“¦ 17 Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 23K / month Β· πŸ“¦ 17 Β· ⏱️ 21.12.2024): ``` pip install vit-pytorch ```
lightly (πŸ₯ˆ32 Β· ⭐ 3.2K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 360 Β· πŸ“‹ 590 - 12% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 360 Β· πŸ“‹ 590 - 12% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 57K / month Β· πŸ“¦ 17 Β· ⏱️ 29.11.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 51K / month Β· πŸ“¦ 17 Β· ⏱️ 29.11.2024): ``` pip install lightly ```
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ImageHash (πŸ₯ˆ31 Β· ⭐ 3.4K) - A Python Perceptual Image Hashing Module. BSD-2 - -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 09.10.2024): - - ``` - git clone https://github.com/JohannesBuchner/imagehash - ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.5M / month Β· πŸ“¦ 240 Β· ⏱️ 28.09.2022): - ``` - pip install ImageHash - ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 410K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge imagehash - ``` -
PaddleDetection (πŸ₯ˆ30 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.9K Β· πŸ“‹ 5.5K - 22% open Β· ⏱️ 03.12.2024): @@ -2385,7 +2369,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 600 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 500 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): ``` pip install paddledet ``` @@ -2397,7 +2381,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 12K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 9K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` @@ -2406,18 +2390,34 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageai ```
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doctr (πŸ₯ˆ30 Β· ⭐ 4K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
doctr (πŸ₯ˆ30 Β· ⭐ 4.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 440 Β· πŸ“₯ 4.5M Β· πŸ“‹ 380 - 7% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 450 Β· πŸ“₯ 4.5M Β· πŸ“‹ 380 - 7% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 41K / month Β· πŸ“¦ 12 Β· ⏱️ 21.10.2024): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 39K / month Β· πŸ“¦ 12 Β· ⏱️ 21.10.2024): ``` pip install python-doctr ```
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ImageHash (πŸ₯ˆ30 Β· ⭐ 3.5K) - A Python Perceptual Image Hashing Module. BSD-2 + +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 09.10.2024): + + ``` + git clone https://github.com/JohannesBuchner/imagehash + ``` +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.4M / month Β· πŸ“¦ 240 Β· ⏱️ 28.09.2022): + ``` + pip install ImageHash + ``` +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 410K Β· ⏱️ 22.12.2024): + ``` + conda install -c conda-forge imagehash + ``` +
CellProfiler (πŸ₯ˆ30 Β· ⭐ 930) - An open-source application for biological image analysis. BSD-3 - [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 8.2K Β· πŸ“¦ 26 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 18.12.2024): @@ -2425,14 +2425,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): ``` pip install cellprofiler ```
sahi (πŸ₯‰29 Β· ⭐ 4.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 600 Β· πŸ“₯ 30K Β· πŸ“¦ 1.5K Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 600 Β· πŸ“₯ 30K Β· πŸ“¦ 1.6K Β· ⏱️ 18.12.2024): ``` git clone https://github.com/obss/sahi @@ -2441,14 +2441,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install sahi ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 82K Β· ⏱️ 18.12.2024): +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 83K Β· ⏱️ 18.12.2024): ``` conda install -c conda-forge sahi ```
mtcnn (πŸ₯‰29 Β· ⭐ 2.3K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT -- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 16 Β· πŸ“¦ 6.8K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): +- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 17 Β· πŸ“¦ 6.8K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): ``` git clone https://github.com/ipazc/mtcnn @@ -2469,23 +2469,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 23K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 21K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): ``` pip install mahotas ``` -- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 530K Β· ⏱️ 18.07.2024): +- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 540K Β· ⏱️ 18.07.2024): ``` conda install -c conda-forge mahotas ```
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Face Alignment (πŸ₯‰27 Β· ⭐ 7.1K) - 2D and 3D Face alignment library build using pytorch. BSD-3 +
Face Alignment (πŸ₯‰27 Β· ⭐ 7.2K) - 2D and 3D Face alignment library build using pytorch. BSD-3 - [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 320 - 24% open Β· ⏱️ 30.08.2024): ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 42K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 40K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ``` @@ -2497,19 +2497,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 83K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 77K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): ``` pip install facenet-pytorch ```
vidgear (πŸ₯‰27 Β· ⭐ 3.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 2K Β· πŸ“¦ 650 Β· πŸ“‹ 300 - 2% open Β· ⏱️ 22.06.2024): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 2K Β· πŸ“¦ 660 Β· πŸ“‹ 300 - 2% open Β· ⏱️ 22.06.2024): ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 20K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 17K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): ``` pip install vidgear ``` @@ -2521,11 +2521,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 22K / month Β· πŸ“¦ 9 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 20K / month Β· πŸ“¦ 9 Β· ⏱️ 30.05.2022): ``` pip install norfair ```
+
Image Deduplicator (πŸ₯‰25 Β· ⭐ 5.2K) - Finding duplicate images made easy!. Apache-2 + +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 450 Β· πŸ“¦ 160 Β· πŸ“‹ 130 - 30% open Β· ⏱️ 19.12.2024): + + ``` + git clone https://github.com/idealo/imagededup + ``` +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 18K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): + ``` + pip install imagededup + ``` +
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2 - [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 410 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 26.11.2024): @@ -2533,7 +2545,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 31K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 28K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ``` @@ -2545,7 +2557,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 18K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 16K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ``` @@ -2557,7 +2569,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 11K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 9.7K / month Β· ⏱️ 27.12.2023): ``` pip install kubric-nightly ``` @@ -2569,7 +2581,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 56K / month Β· πŸ“¦ 77 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 50K / month Β· πŸ“¦ 77 Β· ⏱️ 28.04.2024): ``` pip install pyvips ``` @@ -2585,23 +2597,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 640 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 550 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
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Image Deduplicator (πŸ₯‰24 Β· ⭐ 5.2K) - Finding duplicate images made easy!. Apache-2 - -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 450 Β· πŸ“¦ 160 Β· πŸ“‹ 130 - 30% open Β· ⏱️ 18.12.2024): - - ``` - git clone https://github.com/idealo/imagededup - ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 19K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): - ``` - pip install imagededup - ``` -
segmentation_models (πŸ₯‰24 Β· ⭐ 4.8K) - Segmentation models with pretrained backbones. Keras.. MIT - [GitHub](https://github.com/qubvel/segmentation_models) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1K Β· πŸ“‹ 540 - 50% open Β· ⏱️ 21.08.2024): @@ -2609,31 +2609,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/qubvel/segmentation_models ``` -- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 34K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): +- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 32K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): ``` pip install segmentation_models ```
ffcv (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 57 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 59 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 810 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 860 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
vissl (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 57 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 58 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 120 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2645,7 +2645,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 2.9K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 2.8K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ``` @@ -2665,7 +2665,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 47 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 50 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2681,7 +2681,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install ISR ``` -- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 250 Β· ⭐ 1 Β· ⏱️ 01.04.2019): +- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (πŸ“₯ 260 Β· ⭐ 1 Β· ⏱️ 01.04.2019): ``` docker pull idealo/image-super-resolution-gpu ``` @@ -2696,22 +2696,22 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 22 hidden projects... -- scikit-image (πŸ₯‡42 Β· ⭐ 6.1K Β· πŸ“ˆ) - Image processing in Python. ❗Unlicensed +- scikit-image (πŸ₯‡42 Β· ⭐ 6.1K) - Image processing in Python. ❗Unlicensed - glfw (πŸ₯ˆ37 Β· ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT - Face Recognition (πŸ₯ˆ35 Β· ⭐ 54K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - PyTorch3D (πŸ₯ˆ34 Β· ⭐ 8.9K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- imutils (πŸ₯ˆ31 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - GluonCV (πŸ₯ˆ30 Β· ⭐ 5.9K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 +- imutils (πŸ₯ˆ30 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - layout-parser (πŸ₯‰28 Β· ⭐ 5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- Augmentor (πŸ₯‰27 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.2K) - The friendly PIL fork. ❗️PIL +- Augmentor (πŸ₯‰26 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- Pillow-SIMD (πŸ₯‰26 Β· ⭐ 2.2K) - The friendly PIL fork. ❗️PIL - deep-daze (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 -- nude.py (πŸ₯‰20 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT +- nude.py (πŸ₯‰20 Β· ⭐ 930 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - pycls (πŸ₯‰18 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT - solt (πŸ₯‰18 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT @@ -2729,28 +2729,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 15K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 3.3K Β· πŸ“₯ 76 Β· πŸ“¦ 330K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 3.3K Β· πŸ“₯ 76 Β· πŸ“¦ 330K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 21.12.2024): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 69M / month Β· πŸ“¦ 9.6K Β· ⏱️ 21.10.2024): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 65M / month Β· πŸ“¦ 9.6K Β· ⏱️ 21.10.2024): ``` pip install networkx ``` -- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 19M Β· ⏱️ 13.11.2024): +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 19M Β· ⏱️ 25.12.2024): ``` conda install -c conda-forge networkx ```
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PyTorch Geometric (πŸ₯‡41 Β· ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡40 Β· ⭐ 22K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 3.7K Β· πŸ“¦ 7.3K Β· πŸ“‹ 3.8K - 29% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 3.7K Β· πŸ“¦ 7.4K Β· πŸ“‹ 3.8K - 29% open Β· ⏱️ 17.12.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 490K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 470K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): ``` pip install torch-geometric ``` @@ -2759,26 +2759,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge pytorch_geometric ```
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dgl (πŸ₯‡37 Β· ⭐ 14K Β· πŸ“‰) - Python package built to ease deep learning on graph, on top of.. Apache-2 +
dgl (πŸ₯‡37 Β· ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“¦ 320 Β· πŸ“‹ 2.9K - 18% open Β· ⏱️ 18.10.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“¦ 330 Β· πŸ“‹ 2.9K - 18% open Β· ⏱️ 18.10.2024): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 880K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 520K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): ``` pip install dgl ```
pygraphistry (πŸ₯ˆ32 Β· ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 210 Β· πŸ“¦ 130 Β· πŸ“‹ 340 - 52% open Β· ⏱️ 13.12.2024): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 210 Β· πŸ“¦ 130 Β· πŸ“‹ 340 - 52% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 24.12.2024): ``` pip install graphistry ``` @@ -2790,7 +2790,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 15K / month Β· πŸ“¦ 19 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 14K / month Β· πŸ“¦ 19 Β· ⏱️ 29.10.2024): ``` pip install pykeen ``` @@ -2802,23 +2802,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 9.9K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 9K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): ``` pip install spektral ```
ogb (πŸ₯ˆ28 Β· ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2.1K Β· πŸ“‹ 300 - 9% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2.2K Β· πŸ“‹ 300 - 9% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 43K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 39K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 43K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 44K Β· ⏱️ 22.12.2024): ``` conda install -c conda-forge ogb ``` @@ -2830,7 +2830,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): ``` pip install ampligraph ``` @@ -2842,19 +2842,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 3K / month Β· πŸ“¦ 7 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.8K / month Β· πŸ“¦ 7 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.3K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 740 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 760 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 21K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 19K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): ``` pip install node2vec ``` @@ -2882,7 +2882,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 16K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 15K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` @@ -2925,13 +2925,13 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Show 21 hidden projects... -- igraph (πŸ₯‡34 Β· ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 +- igraph (πŸ₯‡33 Β· ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ27 Β· ⭐ 3K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ27 Β· ⭐ 2.7K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - Karate Club (πŸ₯ˆ23 Β· ⭐ 2.2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- jraph (πŸ₯ˆ23 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - graph4nlp (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 -- jraph (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - graph-nets (πŸ₯‰21 Β· ⭐ 5.4K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - pyRDF2Vec (πŸ₯‰21 Β· ⭐ 250 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 @@ -2943,7 +2943,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - kglib (πŸ₯‰16 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - ptgnn (πŸ₯‰15 Β· ⭐ 380 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT -- GraphEmbedding (πŸ₯‰14 Β· ⭐ 3.7K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT +- GraphEmbedding (πŸ₯‰14 Β· ⭐ 3.8K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.4K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - OpenKE (πŸ₯‰13 Β· ⭐ 3.9K Β· πŸ’€) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed
@@ -2957,19 +2957,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
speechbrain (πŸ₯‡39 Β· ⭐ 9.1K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2.6M / month Β· πŸ“¦ 67 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2.4M / month Β· πŸ“¦ 67 Β· ⏱️ 30.10.2024): ``` pip install speechbrain ```
espnet (πŸ₯‡38 Β· ⭐ 8.6K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.2K Β· πŸ“₯ 83 Β· πŸ“¦ 400 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 08.12.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.2K Β· πŸ“₯ 83 Β· πŸ“¦ 400 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/espnet/espnet @@ -2981,7 +2981,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
SpeechRecognition (πŸ₯‡36 Β· ⭐ 8.5K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 50% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 50% open Β· ⏱️ 22.12.2024): ``` git clone https://github.com/Uberi/speech_recognition @@ -2990,35 +2990,35 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install SpeechRecognition ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 210K Β· ⏱️ 09.12.2024): +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 220K Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge speechrecognition ```
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torchaudio (πŸ₯ˆ35 Β· ⭐ 2.6K) - Data manipulation and transformation for audio signal.. BSD-2 +
torchaudio (πŸ₯‡36 Β· ⭐ 2.6K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 660 Β· πŸ“‹ 990 - 26% open Β· ⏱️ 14.12.2024): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 660 Β· πŸ“‹ 990 - 26% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.3M / month Β· πŸ“¦ 1.4K Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.4K Β· ⏱️ 29.10.2024): ``` pip install torchaudio ```
Coqui TTS (πŸ₯ˆ34 Β· ⭐ 36K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 3.8M Β· πŸ“¦ 2K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 3.9M Β· πŸ“¦ 2K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 150K / month Β· πŸ“¦ 53 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 140K / month Β· πŸ“¦ 53 Β· ⏱️ 12.12.2023): ``` pip install tts ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 21K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tts ``` @@ -3030,7 +3030,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.2K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.7K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` pip install magenta ``` @@ -3042,23 +3042,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/deezer/spleeter ``` -- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 27K / month Β· πŸ“¦ 12 Β· ⏱️ 10.06.2022): +- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 10.06.2022): ``` pip install spleeter ``` -- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 99K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 100K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge spleeter ```
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librosa (πŸ₯ˆ31 Β· ⭐ 7.2K) - Python library for audio and music analysis. ISC +
librosa (πŸ₯ˆ31 Β· ⭐ 7.3K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 960 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 26.11.2024): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.4K Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.4K Β· ⏱️ 14.05.2024): ``` pip install librosa ``` @@ -3067,38 +3067,38 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
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audiomentations (πŸ₯ˆ31 Β· ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT +
Porcupine (πŸ₯ˆ30 Β· ⭐ 3.8K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 630 Β· πŸ“‹ 190 - 26% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 500 Β· πŸ“¦ 36 Β· πŸ“‹ 560 - 0% open Β· ⏱️ 14.12.2024): ``` - git clone https://github.com/iver56/audiomentations + git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 48K / month Β· πŸ“¦ 21 Β· ⏱️ 06.12.2024): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 11K / month Β· πŸ“¦ 35 Β· ⏱️ 27.08.2024): ``` - pip install audiomentations + pip install pvporcupine ```
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Porcupine (πŸ₯ˆ30 Β· ⭐ 3.8K) - On-device wake word detection powered by deep learning. Apache-2 +
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 500 Β· πŸ“¦ 36 Β· πŸ“‹ 560 - 0% open Β· ⏱️ 14.12.2024): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 640 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/Picovoice/Porcupine + git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 11K / month Β· πŸ“¦ 35 Β· ⏱️ 27.08.2024): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 44K / month Β· πŸ“¦ 21 Β· ⏱️ 06.12.2024): ``` - pip install pvporcupine + pip install audiomentations ```
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python-soundfile (πŸ₯ˆ30 Β· ⭐ 720) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
python-soundfile (πŸ₯ˆ30 Β· ⭐ 730) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 48K Β· πŸ“‹ 260 - 47% open Β· ⏱️ 04.12.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.7M / month Β· πŸ“¦ 780 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.4M / month Β· πŸ“¦ 780 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3114,7 +3114,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 64K / month Β· πŸ“¦ 110 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 66K / month Β· πŸ“¦ 110 Β· ⏱️ 03.11.2024): ``` pip install tinytag ``` @@ -3126,11 +3126,11 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2.2M / month Β· πŸ“¦ 140 Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2.1M / month Β· πŸ“¦ 140 Β· ⏱️ 27.09.2023): ``` pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 910K Β· ⏱️ 03.09.2024): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 920K Β· ⏱️ 03.09.2024): ``` conda install -c conda-forge audioread ``` @@ -3142,19 +3142,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.2K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.1K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
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DDSP (πŸ₯‰23 Β· ⭐ 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2 +
DDSP (πŸ₯‰24 Β· ⭐ 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 330 Β· πŸ“¦ 62 Β· πŸ“‹ 170 - 28% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 340 Β· πŸ“¦ 62 Β· πŸ“‹ 170 - 28% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 4.3K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3170,23 +3170,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 21K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 23K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` pip install nnAudio ```
Show 13 hidden projects... -- Pydub (πŸ₯ˆ35 Β· ⭐ 9K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT -- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 25K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Pydub (πŸ₯‡36 Β· ⭐ 9K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 26K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Essentia (πŸ₯‰29 Β· ⭐ 2.9K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.9K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- Essentia (πŸ₯‰28 Β· ⭐ 2.9K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 -- aubio (πŸ₯‰27 Β· ⭐ 3.3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 +- aubio (πŸ₯‰27 Β· ⭐ 3.4K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (πŸ₯‰26 Β· ⭐ 9.5K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 -- python_speech_features (πŸ₯‰24 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT +- python_speech_features (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.5K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰22 Β· ⭐ 920 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT -- TimeSide (πŸ₯‰22 Β· ⭐ 370) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 +- TimeSide (πŸ₯‰22 Β· ⭐ 380) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 - Julius (πŸ₯‰21 Β· ⭐ 430 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT - Muda (πŸ₯‰18 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC - textlesslib (πŸ₯‰10 Β· ⭐ 530 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT @@ -3199,34 +3199,34 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as _Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._ -
pydeck (πŸ₯‡43 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT +
pydeck (πŸ₯‡42 Β· ⭐ 12K Β· πŸ“‰) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.4K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.4K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 6.7M / month Β· πŸ“¦ 120 Β· ⏱️ 10.05.2024): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 5.6M / month Β· πŸ“¦ 120 Β· ⏱️ 10.05.2024): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 660K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 670K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 570K / month Β· πŸ“¦ 310 Β· ⏱️ 11.12.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 490K / month Β· πŸ“¦ 310 Β· ⏱️ 11.12.2024): ``` npm install deck.gl ```
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folium (πŸ₯‡40 Β· ⭐ 7K Β· πŸ“ˆ) - Python Data. Leaflet.js Maps. MIT +
folium (πŸ₯‡40 Β· ⭐ 7K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 48K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 14.12.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 49K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 14.12.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.7M / month Β· πŸ“¦ 800 Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.6M / month Β· πŸ“¦ 800 Β· ⏱️ 13.12.2024): ``` pip install folium ``` @@ -3242,7 +3242,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 34M / month Β· πŸ“¦ 2.9K Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 32M / month Β· πŸ“¦ 2.9K Β· ⏱️ 19.08.2024): ``` pip install shapely ``` @@ -3258,7 +3258,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 7.1M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.6M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): ``` pip install geopandas ``` @@ -3269,28 +3269,28 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 540 Β· πŸ“₯ 980 Β· πŸ“¦ 14K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 15.12.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 540 Β· πŸ“₯ 990 Β· πŸ“¦ 14K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 15.12.2024): ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.4M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): ``` pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3.9M Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/rasterio): ``` conda install -c conda-forge rasterio ```
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ArcGIS API (πŸ₯ˆ36 Β· ⭐ 1.9K Β· πŸ“‰) - Documentation and samples for ArcGIS API for Python. Apache-2 +
ArcGIS API (πŸ₯ˆ36 Β· ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2 - [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.1K Β· πŸ“₯ 13K Β· πŸ“¦ 880 Β· πŸ“‹ 790 - 10% open Β· ⏱️ 03.12.2024): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 84K / month Β· πŸ“¦ 40 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 83K / month Β· πŸ“¦ 40 Β· ⏱️ 01.10.2024): ``` pip install arcgis ``` @@ -3299,14 +3299,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra docker pull esridocker/arcgis-api-python-notebook ```
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Fiona (πŸ₯ˆ36 Β· ⭐ 1.2K Β· πŸ“‰) - Fiona reads and writes geographic data files. BSD-3 +
Fiona (πŸ₯ˆ36 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 200 Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 3% open Β· ⏱️ 18.11.2024): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.7M / month Β· πŸ“¦ 300 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.4M / month Β· πŸ“¦ 300 Β· ⏱️ 16.09.2024): ``` pip install fiona ``` @@ -3317,12 +3317,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 210 Β· πŸ“¦ 37K Β· πŸ“‹ 630 - 5% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 220 Β· πŸ“¦ 37K Β· πŸ“‹ 630 - 5% open Β· ⏱️ 04.12.2024): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 9.3M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.10.2024): ``` pip install pyproj ``` @@ -3338,7 +3338,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 230K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 210K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): ``` pip install ipyleaflet ``` @@ -3346,41 +3346,41 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 6.4K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 5.8K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): ``` npm install jupyter-leaflet ```
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PySAL (πŸ₯‰30 Β· ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 +
geojson (πŸ₯‰31 Β· ⭐ 930) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.7K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 18.11.2024): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 120 Β· πŸ“¦ 19K Β· πŸ“‹ 100 - 23% open Β· ⏱️ 21.12.2024): ``` - git clone https://github.com/pysal/pysal + git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 35K / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2.4M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2024): ``` - pip install pysal + pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 590K Β· ⏱️ 30.07.2024): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 890K Β· ⏱️ 22.12.2024): ``` - conda install -c conda-forge pysal + conda install -c conda-forge geojson ```
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geojson (πŸ₯‰30 Β· ⭐ 930) - Python bindings and utilities for GeoJSON. BSD-3 +
PySAL (πŸ₯‰30 Β· ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 120 Β· πŸ“¦ 19K Β· πŸ“‹ 100 - 24% open Β· ⏱️ 25.10.2024): +- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.7K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 18.11.2024): ``` - git clone https://github.com/jazzband/geojson + git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2.9M / month Β· πŸ“¦ 700 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 32K / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): ``` - pip install geojson + pip install pysal ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 890K Β· ⏱️ 16.12.2024): +- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 590K Β· ⏱️ 23.12.2024): ``` - conda install -c conda-forge geojson + conda install -c conda-forge pysal ```
GeoViews (πŸ₯‰29 Β· ⭐ 600) - Simple, concise geographical visualization in Python. BSD-3 @@ -3390,7 +3390,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 19K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 16K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): ``` pip install geoviews ``` @@ -3399,18 +3399,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geoviews ```
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pymap3d (πŸ₯‰23 Β· ⭐ 400 Β· πŸ’€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 +
pymap3d (πŸ₯‰24 Β· ⭐ 400 Β· πŸ’€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 - [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 87 Β· πŸ“¦ 460 Β· πŸ“‹ 58 - 15% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 240K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 230K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 88K Β· ⏱️ 11.02.2024): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 88K Β· ⏱️ 25.12.2024): ``` conda install -c conda-forge pymap3d ``` @@ -3418,7 +3418,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 9 hidden projects... - geopy (πŸ₯ˆ33 Β· ⭐ 4.5K Β· πŸ’€) - Geocoding library for Python. MIT -- Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT +- Geocoder (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT - Satpy (πŸ₯‰32 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰27 Β· ⭐ 990 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - EarthPy (πŸ₯‰26 Β· ⭐ 510 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 @@ -3435,14 +3435,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._ -
yfinance (πŸ₯‡42 Β· ⭐ 15K) - Download market data from Yahoo! Finances API. Apache-2 +
yfinance (πŸ₯‡41 Β· ⭐ 15K Β· πŸ“‰) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.4K Β· πŸ“¦ 55K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 08.12.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.5K Β· πŸ“¦ 55K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.3M / month Β· πŸ“¦ 710 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 2.9M / month Β· πŸ“¦ 740 Β· ⏱️ 19.12.2024): ``` pip install yfinance ``` @@ -3451,32 +3451,32 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
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bt (πŸ₯ˆ31 Β· ⭐ 2.3K) - bt - flexible backtesting for Python. MIT +
Qlib (πŸ₯ˆ31 Β· ⭐ 16K Β· πŸ“ˆ) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 430 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 22% open Β· ⏱️ 01.12.2024): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 740 Β· πŸ“¦ 21 Β· πŸ“‹ 940 - 26% open Β· ⏱️ 26.12.2024): ``` - git clone https://github.com/pmorissette/bt - ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 8K / month Β· πŸ“¦ 10 Β· ⏱️ 06.08.2024): - ``` - pip install bt + git clone https://github.com/microsoft/qlib ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 55K Β· ⏱️ 21.09.2024): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 5K / month Β· πŸ“¦ 1 Β· ⏱️ 23.12.2024): ``` - conda install -c conda-forge bt + pip install pyqlib ```
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Qlib (πŸ₯ˆ29 Β· ⭐ 16K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
bt (πŸ₯ˆ30 Β· ⭐ 2.3K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 740 Β· πŸ“¦ 21 Β· πŸ“‹ 940 - 26% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 430 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 22% open Β· ⏱️ 01.12.2024): ``` - git clone https://github.com/microsoft/qlib + git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 4.8K / month Β· πŸ“¦ 1 Β· ⏱️ 24.05.2024): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.3K / month Β· πŸ“¦ 10 Β· ⏱️ 06.08.2024): ``` - pip install pyqlib + pip install bt + ``` +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 56K Β· ⏱️ 21.09.2024): + ``` + conda install -c conda-forge bt ```
ffn (πŸ₯ˆ29 Β· ⭐ 2.1K) - ffn - a financial function library for Python. MIT @@ -3486,7 +3486,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 17K / month Β· πŸ“¦ 18 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 16K / month Β· πŸ“¦ 18 Β· ⏱️ 02.11.2024): ``` pip install ffn ``` @@ -3502,7 +3502,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 42K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 40K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): ``` pip install alpha_vantage ``` @@ -3518,7 +3518,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 36K / month Β· πŸ“¦ 44 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 34K / month Β· πŸ“¦ 44 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3527,6 +3527,18 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge ib-insync ```
+
stockstats (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ“ˆ) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 + +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“¦ 1.1K Β· πŸ“‹ 130 - 11% open Β· ⏱️ 22.12.2024): + + ``` + git clone https://github.com/jealous/stockstats + ``` +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.8K / month Β· πŸ“¦ 12 Β· ⏱️ 22.12.2024): + ``` + pip install stockstats + ``` +
TensorTrade (πŸ₯‰26 Β· ⭐ 4.6K) - An open source reinforcement learning framework for training,.. Apache-2 - [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1K Β· πŸ“¦ 67 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 09.06.2024): @@ -3534,7 +3546,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` @@ -3543,18 +3555,6 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge tensortrade ```
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stockstats (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 - -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“¦ 1.1K Β· πŸ“‹ 130 - 11% open Β· ⏱️ 05.01.2024): - - ``` - git clone https://github.com/jealous/stockstats - ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 11K / month Β· πŸ“¦ 11 Β· ⏱️ 30.07.2023): - ``` - pip install stockstats - ``` -
finmarketpy (πŸ₯‰23 Β· ⭐ 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 490 Β· πŸ“₯ 57 Β· πŸ“¦ 16 Β· πŸ“‹ 29 - 86% open Β· ⏱️ 09.11.2024): @@ -3562,7 +3562,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 520 / month Β· ⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 410 / month Β· ⏱️ 19.05.2024): ``` pip install finmarketpy ``` @@ -3574,7 +3574,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 720 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 790 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3583,14 +3583,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - zipline (πŸ₯‡32 Β· ⭐ 18K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - arch (πŸ₯‡32 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed -- pyfolio (πŸ₯ˆ31 Β· ⭐ 5.7K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 +- pyfolio (πŸ₯ˆ31 Β· ⭐ 5.8K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - ta (πŸ₯ˆ30 Β· ⭐ 4.4K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT - backtrader (πŸ₯ˆ28 Β· ⭐ 15K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯ˆ27 Β· ⭐ 3.4K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 -- FinTA (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 +- FinTA (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Backtesting.py (πŸ₯‰22 Β· ⭐ 5.7K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 5K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinQuant (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT @@ -3605,14 +3605,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (πŸ₯‡39 Β· ⭐ 8K Β· πŸ“ˆ) - A unified framework for machine learning with time series. BSD-3 +
sktime (πŸ₯‡39 Β· ⭐ 8K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 1.4K Β· πŸ“₯ 110 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 37% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 1.4K Β· πŸ“₯ 110 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 38% open Β· ⏱️ 22.12.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 970K / month Β· πŸ“¦ 130 Β· ⏱️ 09.12.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 920K / month Β· πŸ“¦ 130 Β· ⏱️ 09.12.2024): ``` pip install sktime ``` @@ -3628,7 +3628,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 220K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 210K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3637,14 +3637,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ```
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StatsForecast (πŸ₯‡34 Β· ⭐ 4K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
StatsForecast (πŸ₯‡34 Β· ⭐ 4.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 290 Β· πŸ“¦ 1.3K Β· πŸ“‹ 350 - 29% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 290 Β· πŸ“¦ 1.3K Β· πŸ“‹ 350 - 29% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 1.1M / month Β· πŸ“¦ 59 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 930K / month Β· πŸ“¦ 59 Β· ⏱️ 26.11.2024): ``` pip install statsforecast ``` @@ -3660,7 +3660,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 93 Β· ⏱️ 03.08.2024): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 93 Β· ⏱️ 03.08.2024): ``` pip install tsfresh ``` @@ -3671,32 +3671,32 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (πŸ₯ˆ32 Β· ⭐ 8.2K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 890 Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 82K / month Β· πŸ“¦ 10 Β· ⏱️ 13.10.2024): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 81K / month Β· πŸ“¦ 10 Β· ⏱️ 21.12.2024): ``` pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 65K Β· ⏱️ 13.10.2024): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 65K Β· ⏱️ 21.12.2024): ``` conda install -c conda-forge u8darts-all ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 930 Β· ⏱️ 17.04.2024): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 1K Β· ⏱️ 21.12.2024): ``` docker pull unit8/darts ```
pytorch-forecasting (πŸ₯ˆ32 Β· ⭐ 4K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 630 Β· πŸ“¦ 460 Β· πŸ“‹ 800 - 61% open Β· ⏱️ 10.12.2024): +- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 630 Β· πŸ“¦ 460 Β· πŸ“‹ 800 - 61% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 63K / month Β· πŸ“¦ 22 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 60K / month Β· πŸ“¦ 22 Β· ⏱️ 19.11.2024): ``` pip install pytorch-forecasting ``` @@ -3712,23 +3712,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 290K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 300K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 1M Β· ⏱️ 09.07.2024): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 1M Β· ⏱️ 21.12.2024): ``` conda install -c conda-forge stumpy ```
NeuralForecast (πŸ₯ˆ32 Β· ⭐ 3.2K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 370 Β· πŸ“¦ 270 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 370 Β· πŸ“¦ 280 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 64K / month Β· πŸ“¦ 21 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 60K / month Β· πŸ“¦ 21 Β· ⏱️ 16.12.2024): ``` pip install neuralforecast ``` @@ -3737,7 +3737,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge neuralforecast ```
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pmdarima (πŸ₯ˆ32 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT +
pmdarima (πŸ₯ˆ31 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT - [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 10K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 07.11.2024): @@ -3760,7 +3760,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 95K / month Β· πŸ“¦ 15 Β· ⏱️ 11.11.2024): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 92K / month Β· πŸ“¦ 15 Β· ⏱️ 11.11.2024): ``` pip install skforecast ``` @@ -3772,7 +3772,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 790K / month Β· πŸ“¦ 33 Β· ⏱️ 11.11.2024): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 590K / month Β· πŸ“¦ 33 Β· ⏱️ 11.11.2024): ``` pip install gluonts ``` @@ -3783,12 +3783,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tslearn (πŸ₯ˆ30 Β· ⭐ 2.9K) - The machine learning toolkit for time series analysis in Python. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 340 Β· πŸ“¦ 1.5K Β· πŸ“‹ 340 - 41% open Β· ⏱️ 01.07.2024): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 340 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 41% open Β· ⏱️ 01.07.2024): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 400K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 380K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3804,7 +3804,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 76K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 74K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): ``` pip install neuralprophet ``` @@ -3816,23 +3816,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 22K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 24K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` -- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 1.3M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 1.4M Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge streamz ```
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TSFEL (πŸ₯‰23 Β· ⭐ 950) - An intuitive library to extract features from time series. BSD-3 +
TSFEL (πŸ₯‰23 Β· ⭐ 960) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 160 Β· πŸ“‹ 79 - 8% open Β· ⏱️ 17.10.2024): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 14K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 13K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): ``` pip install tsfel ``` @@ -3844,7 +3844,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 8.7K / month Β· ⏱️ 12.01.2024): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 8.6K / month Β· ⏱️ 12.01.2024): ``` pip install greykite ``` @@ -3856,7 +3856,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 37K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): ``` pip install pydlm ``` @@ -3868,7 +3868,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): ``` pip install tsflex ``` @@ -3912,12 +3912,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.8K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.9K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 150K / month Β· πŸ“¦ 420 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 140K / month Β· πŸ“¦ 420 Β· ⏱️ 18.12.2024): ``` pip install mne ``` @@ -3928,23 +3928,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯‡39 Β· ⭐ 1.2K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 600 Β· πŸ“₯ 270 Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 600 Β· πŸ“₯ 280 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 70K / month Β· πŸ“¦ 310 Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 72K / month Β· πŸ“¦ 310 Β· ⏱️ 23.12.2024): ``` pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 310K Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 310K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge nilearn ```
MONAI (πŸ₯ˆ36 Β· ⭐ 6K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.3K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.3K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/Project-MONAI/MONAI @@ -3953,19 +3953,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 36K Β· ⏱️ 17.10.2024): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 36K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge monai ```
NIPYPE (πŸ₯ˆ36 Β· ⭐ 750) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 530 Β· πŸ“¦ 5.4K Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 530 Β· πŸ“¦ 5.5K Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 17.12.2024): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 230K / month Β· πŸ“¦ 150 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 220K / month Β· πŸ“¦ 150 Β· ⏱️ 17.12.2024): ``` pip install nipype ``` @@ -3981,7 +3981,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 1.6M / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 770K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): ``` pip install nibabel ``` @@ -4013,7 +4013,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 270K / month Β· πŸ“¦ 34 Β· ⏱️ 04.10.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 290K / month Β· πŸ“¦ 34 Β· ⏱️ 04.10.2024): ``` pip install hail ``` @@ -4037,7 +4037,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 3.7K / month Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 3.6K / month Β· ⏱️ 11.12.2024): ``` pip install brainiak ``` @@ -4048,7 +4048,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects... -- DIPY (πŸ₯ˆ32 Β· ⭐ 720) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed +- DIPY (πŸ₯ˆ32 Β· ⭐ 730) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NIPY (πŸ₯‰27 Β· ⭐ 380) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - NiftyNet (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰24 Β· ⭐ 580) - Medical image processing in Python. ❗️GPL-3.0 @@ -4074,23 +4074,23 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 5.5K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 4.9K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): ``` pip install pytorch_tabular ```
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miceforest (πŸ₯ˆ23 Β· ⭐ 360) - Multiple Imputation with LightGBM in Python. MIT +
miceforest (πŸ₯ˆ24 Β· ⭐ 370) - Multiple Imputation with LightGBM in Python. MIT -- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 180 Β· πŸ“‹ 85 - 8% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 180 Β· πŸ“‹ 86 - 9% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/AnotherSamWilson/miceforest ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 61K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 64K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): ``` pip install miceforest ``` -- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 16K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge miceforest ``` @@ -4102,7 +4102,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/upgini/upgini ``` -- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 16K / month Β· ⏱️ 19.12.2024): +- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 11K / month Β· ⏱️ 24.12.2024): ``` pip install upgini ``` @@ -4114,14 +4114,14 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 1.7K / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 1.5K / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ```
Show 1 hidden projects... -- deltapy (πŸ₯‰13 Β· ⭐ 540 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT +- deltapy (πŸ₯‰12 Β· ⭐ 540 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4133,7 +4133,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡41 Β· ⭐ 45K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.8K Β· πŸ“₯ 900K Β· πŸ“¦ 3.9K Β· πŸ“‹ 9.5K - 1% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.8K Β· πŸ“₯ 940K Β· πŸ“¦ 4K Β· πŸ“‹ 9.5K - 1% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR @@ -4143,42 +4143,42 @@ _Libraries for optical character recognition (OCR) and text extraction from imag pip install paddleocr ```
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OCRmyPDF (πŸ₯‡35 Β· ⭐ 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
EasyOCR (πŸ₯‡35 Β· ⭐ 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“₯ 6K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 13.12.2024): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.2K Β· πŸ“₯ 17M Β· πŸ“¦ 10K Β· πŸ“‹ 1K - 42% open Β· ⏱️ 24.09.2024): ``` - git clone https://github.com/ocrmypdf/OCRmyPDF - ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 190K / month Β· πŸ“¦ 37 Β· ⏱️ 09.12.2024): - ``` - pip install ocrmypdf + git clone https://github.com/JaidedAI/EasyOCR ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 85K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 720K / month Β· πŸ“¦ 210 Β· ⏱️ 24.09.2024): ``` - conda install -c conda-forge ocrmypdf + pip install easyocr ```
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EasyOCR (πŸ₯ˆ34 Β· ⭐ 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
OCRmyPDF (πŸ₯‡35 Β· ⭐ 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.2K Β· πŸ“₯ 17M Β· πŸ“¦ 10K Β· πŸ“‹ 1K - 42% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“₯ 6.1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 13.12.2024): ``` - git clone https://github.com/JaidedAI/EasyOCR + git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 760K / month Β· πŸ“¦ 210 Β· ⏱️ 24.09.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 170K / month Β· πŸ“¦ 37 Β· ⏱️ 09.12.2024): ``` - pip install easyocr + pip install ocrmypdf + ``` +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 86K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ocrmypdf ```
-
Tesseract (πŸ₯ˆ33 Β· ⭐ 5.9K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
Tesseract (πŸ₯ˆ32 Β· ⭐ 5.9K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 720 Β· πŸ“‹ 360 - 2% open Β· ⏱️ 22.11.2024): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.6M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.4M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): ``` pip install pytesseract ``` @@ -4189,12 +4189,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ30 Β· ⭐ 2K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 700 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 18% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 710 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 18% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 82K / month Β· πŸ“¦ 36 Β· ⏱️ 26.08.2024): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 78K / month Β· πŸ“¦ 36 Β· ⏱️ 26.08.2024): ``` pip install tesserocr ``` @@ -4203,14 +4203,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
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MMOCR (πŸ₯‰26 Β· ⭐ 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 +
MMOCR (πŸ₯‰27 Β· ⭐ 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 750 Β· πŸ“¦ 180 Β· πŸ“‹ 930 - 20% open Β· ⏱️ 27.11.2024): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 750 Β· πŸ“¦ 190 Β· πŸ“‹ 930 - 20% open Β· ⏱️ 27.11.2024): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.1K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4274,28 +4274,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡46 Β· ⭐ 35K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.9K Β· πŸ“₯ 250 Β· πŸ“¦ 20K Β· πŸ“‹ 20K - 21% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.9K Β· πŸ“₯ 250 Β· πŸ“¦ 20K Β· πŸ“‹ 20K - 21% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 6.3M / month Β· πŸ“¦ 820 Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 5.8M / month Β· πŸ“¦ 820 Β· ⏱️ 03.12.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 500K Β· ⏱️ 06.12.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 500K Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡44 Β· ⭐ 13K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 1.7K Β· πŸ“¦ 68K Β· πŸ“‹ 5.4K - 20% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 1.7K Β· πŸ“¦ 68K Β· πŸ“‹ 5.4K - 20% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 15M / month Β· πŸ“¦ 2.6K Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 13M / month Β· πŸ“¦ 2.6K Β· ⏱️ 17.12.2024): ``` pip install dask ``` @@ -4306,12 +4306,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (πŸ₯‡41 Β· ⭐ 36K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 4.2K Β· πŸ“¦ 10K Β· πŸ“‹ 3K - 36% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 4.2K Β· πŸ“¦ 10K Β· πŸ“‹ 3K - 36% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 540K / month Β· πŸ“¦ 240 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 580K / month Β· πŸ“¦ 240 Β· ⏱️ 18.12.2024): ``` pip install deepspeed ``` @@ -4322,12 +4322,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 38K Β· πŸ“‹ 4K - 39% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 38K Β· πŸ“‹ 4K - 39% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 6.3M / month Β· πŸ“¦ 890 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 5.4M / month Β· πŸ“¦ 890 Β· ⏱️ 17.12.2024): ``` pip install distributed ``` @@ -4343,23 +4343,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 93K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 87K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
metrics (πŸ₯ˆ36 Β· ⭐ 2.2K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 400 Β· πŸ“₯ 5.9K Β· πŸ“¦ 34K Β· πŸ“‹ 900 - 8% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 410 Β· πŸ“₯ 6K Β· πŸ“¦ 34K Β· πŸ“‹ 900 - 8% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.7K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.2K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.7M Β· ⏱️ 12.12.2024): +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.7M Β· ⏱️ 26.12.2024): ``` conda install -c conda-forge torchmetrics ``` @@ -4371,14 +4371,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 220K / month Β· πŸ“¦ 49 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 210K / month Β· πŸ“¦ 49 Β· ⏱️ 02.11.2024): ``` pip install h2o ```
ColossalAI (πŸ₯ˆ33 Β· ⭐ 39K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.4K Β· πŸ“¦ 450 Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.3K Β· πŸ“¦ 450 Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/hpcaitech/colossalai @@ -4386,12 +4386,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (πŸ₯ˆ33 Β· ⭐ 6.8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.3K Β· πŸ“₯ 640 Β· πŸ“‹ 2.7K - 38% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.3K Β· πŸ“₯ 640 Β· πŸ“‹ 2.7K - 38% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 31K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 25K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4406,51 +4406,51 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ31 Β· ⭐ 3.2K Β· πŸ’€) - PyTorch extensions for high performance and large scale.. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 7K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 7.1K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 410K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 390K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` -- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 350K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 360K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge fairscale ```
-
mpi4py (πŸ₯ˆ30 Β· ⭐ 820) - Python bindings for MPI. BSD-3 +
SynapseML (πŸ₯ˆ29 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 29K Β· πŸ“‹ 190 - 4% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 790 - 48% open Β· ⏱️ 02.12.2024): ``` - git clone https://github.com/mpi4py/mpi4py - ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 410K / month Β· πŸ“¦ 750 Β· ⏱️ 11.10.2024): - ``` - pip install mpi4py + git clone https://github.com/microsoft/SynapseML ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.2M Β· ⏱️ 12.10.2024): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 240K / month Β· πŸ“¦ 5 Β· ⏱️ 16.10.2024): ``` - conda install -c conda-forge mpi4py + pip install synapseml ```
-
SynapseML (πŸ₯ˆ29 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT +
mpi4py (πŸ₯ˆ29 Β· ⭐ 820) - Python bindings for MPI. BSD-3 -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 780 - 48% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 29K Β· πŸ“‹ 190 - 4% open Β· ⏱️ 21.12.2024): ``` - git clone https://github.com/microsoft/SynapseML + git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 260K / month Β· πŸ“¦ 5 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 350K / month Β· πŸ“¦ 750 Β· ⏱️ 11.10.2024): ``` - pip install synapseml + pip install mpi4py + ``` +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.2M Β· ⏱️ 12.10.2024): + ``` + conda install -c conda-forge mpi4py ```
petastorm (πŸ₯ˆ28 Β· ⭐ 1.8K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 540 Β· πŸ“¦ 190 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 550 Β· πŸ“¦ 190 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): ``` git clone https://github.com/uber/petastorm @@ -4462,12 +4462,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Submit it (πŸ₯ˆ28 Β· ⭐ 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 120 Β· πŸ“¦ 3.7K Β· πŸ“‹ 130 - 38% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 130 Β· πŸ“¦ 3.7K Β· πŸ“‹ 130 - 38% open Β· ⏱️ 18.09.2024): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 430K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 400K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): ``` pip install submitit ``` @@ -4492,18 +4492,6 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge dask-ml ```
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Hivemind (πŸ₯‰25 Β· ⭐ 2.1K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT - -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 170 Β· πŸ“¦ 110 Β· πŸ“‹ 180 - 43% open Β· ⏱️ 05.11.2024): - - ``` - git clone https://github.com/learning-at-home/hivemind - ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1.1K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): - ``` - pip install hivemind - ``` -
Apache Singa (πŸ₯‰24 Β· ⭐ 3.4K) - a distributed deep learning platform. Apache-2 - [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.2K Β· πŸ“¦ 5 Β· πŸ“‹ 140 - 36% open Β· ⏱️ 29.11.2024): @@ -4520,9 +4508,21 @@ _Libraries that provide capabilities to distribute and parallelize machine learn docker pull apache/singa ```
+
Hivemind (πŸ₯‰24 Β· ⭐ 2.1K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT + +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 170 Β· πŸ“¦ 110 Β· πŸ“‹ 180 - 43% open Β· ⏱️ 05.11.2024): + + ``` + git clone https://github.com/learning-at-home/hivemind + ``` +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): + ``` + pip install hivemind + ``` +
MMLSpark (πŸ₯‰23 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 780 - 48% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 790 - 48% open Β· ⏱️ 02.12.2024): ``` git clone https://github.com/microsoft/SynapseML @@ -4539,7 +4539,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ``` @@ -4574,28 +4574,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (πŸ₯‡43 Β· ⭐ 11K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1K Β· πŸ“¦ 20K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1K Β· πŸ“¦ 20K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/optuna/optuna ``` -- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 4M / month Β· πŸ“¦ 1K Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 3.6M / month Β· πŸ“¦ 1K Β· ⏱️ 12.11.2024): ``` pip install optuna ``` -- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 2M Β· ⏱️ 13.11.2024): +- [Conda](https://anaconda.org/conda-forge/optuna) (πŸ“₯ 2M Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge optuna ```
AutoGluon (πŸ₯‡36 Β· ⭐ 8.2K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 940 Β· πŸ“¦ 910 Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 940 Β· πŸ“¦ 910 Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 190K / month Β· πŸ“¦ 28 Β· ⏱️ 19.12.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 160K / month Β· πŸ“¦ 30 Β· ⏱️ 26.12.2024): ``` pip install autogluon ``` @@ -4610,23 +4610,39 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡36 Β· ⭐ 2.4K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 310 Β· πŸ“¦ 860 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 310 Β· πŸ“¦ 860 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 120K / month Β· πŸ“¦ 54 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 110K / month Β· πŸ“¦ 54 Β· ⏱️ 23.09.2024): ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 31K Β· ⏱️ 24.09.2024): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 31K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge ax-platform ```
+
Hyperopt (πŸ₯‡34 Β· ⭐ 7.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 + +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 18K Β· πŸ“‹ 690 - 20% open Β· ⏱️ 25.09.2024): + + ``` + git clone https://github.com/hyperopt/hyperopt + ``` +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.2M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): + ``` + pip install hyperopt + ``` +- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 810K Β· ⏱️ 20.12.2024): + ``` + conda install -c conda-forge hyperopt + ``` +
BoTorch (πŸ₯‡34 Β· ⭐ 3.1K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 1.3K Β· πŸ“‹ 560 - 14% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 1.3K Β· πŸ“‹ 560 - 14% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/pytorch/botorch @@ -4635,25 +4651,21 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 130K Β· ⏱️ 20.09.2024): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 130K Β· ⏱️ 19.12.2024): ``` conda install -c conda-forge botorch ```
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Hyperopt (πŸ₯‡33 Β· ⭐ 7.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 +
Bayesian Optimization (πŸ₯‡33 Β· ⭐ 8K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 18K Β· πŸ“‹ 690 - 20% open Β· ⏱️ 25.09.2024): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.6K Β· πŸ“₯ 170 Β· πŸ“¦ 3.2K Β· πŸ“‹ 370 - 2% open Β· ⏱️ 23.12.2024): ``` - git clone https://github.com/hyperopt/hyperopt - ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.5M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): - ``` - pip install hyperopt + git clone https://github.com/fmfn/BayesianOptimization ``` -- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 800K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 400K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2024): ``` - conda install -c conda-forge hyperopt + pip install bayesian-optimization ```
nevergrad (πŸ₯‡33 Β· ⭐ 4K) - A Python toolbox for performing gradient-free optimization. MIT @@ -4663,7 +4675,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 130K / month Β· πŸ“¦ 62 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 120K / month Β· πŸ“¦ 62 Β· ⏱️ 01.12.2024): ``` pip install nevergrad ``` @@ -4679,23 +4691,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 26K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 24K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): ``` pip install autokeras ```
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Bayesian Optimization (πŸ₯ˆ32 Β· ⭐ 8K) - A Python implementation of global optimization with.. MIT - -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.6K Β· πŸ“₯ 170 Β· πŸ“¦ 3.2K Β· πŸ“‹ 370 - 2% open Β· ⏱️ 19.12.2024): - - ``` - git clone https://github.com/fmfn/BayesianOptimization - ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 420K / month Β· πŸ“¦ 150 Β· ⏱️ 18.12.2024): - ``` - pip install bayesian-optimization - ``` -
featuretools (πŸ₯ˆ31 Β· ⭐ 7.3K) - An open source python library for automated feature engineering. BSD-3 - [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 880 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 13.11.2024): @@ -4703,7 +4703,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 62K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 60K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): ``` pip install featuretools ``` @@ -4714,7 +4714,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (πŸ₯ˆ31 Β· ⭐ 2.9K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 4.8K Β· πŸ“‹ 490 - 44% open Β· ⏱️ 24.06.2024): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 4.9K Β· πŸ“‹ 490 - 44% open Β· ⏱️ 24.06.2024): ``` git clone https://github.com/keras-team/keras-tuner @@ -4723,41 +4723,41 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 45K Β· ⏱️ 05.03.2024): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 45K Β· ⏱️ 25.12.2024): ``` conda install -c conda-forge keras-tuner ```
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mljar-supervised (πŸ₯ˆ30 Β· ⭐ 3.1K) - Python package for AutoML on Tabular Data with Feature.. MIT +
lazypredict (πŸ₯ˆ30 Β· ⭐ 3K) - Lazy Predict help build a lot of basic models without much code.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 410 Β· πŸ“¦ 140 Β· πŸ“‹ 660 - 21% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 350 Β· πŸ“¦ 1.2K Β· πŸ“‹ 140 - 70% open Β· ⏱️ 03.11.2024): ``` - git clone https://github.com/mljar/mljar-supervised + git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 02.11.2024): ``` - pip install mljar-supervised + pip install lazypredict ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 27K Β· ⏱️ 12.11.2024): +- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 3.9K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge mljar-supervised + conda install -c conda-forge lazypredict ```
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lazypredict (πŸ₯ˆ30 Β· ⭐ 3K) - Lazy Predict help build a lot of basic models without much code.. MIT +
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 3.1K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 350 Β· πŸ“¦ 1.2K Β· πŸ“‹ 140 - 70% open Β· ⏱️ 03.11.2024): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 410 Β· πŸ“¦ 140 Β· πŸ“‹ 660 - 21% open Β· ⏱️ 26.11.2024): ``` - git clone https://github.com/shankarpandala/lazypredict + git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 12.11.2024): ``` - pip install lazypredict + pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 3.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 28K Β· ⏱️ 12.11.2024): ``` - conda install -c conda-forge lazypredict + conda install -c conda-forge mljar-supervised ```
Talos (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT @@ -4767,19 +4767,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.6K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.4K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` pip install talos ```
FEDOT (πŸ₯ˆ24 Β· ⭐ 650) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 88 Β· πŸ“¦ 55 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 15.11.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 88 Β· πŸ“¦ 55 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.6K / month Β· πŸ“¦ 5 Β· ⏱️ 28.08.2024): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.4K / month Β· πŸ“¦ 5 Β· ⏱️ 28.08.2024): ``` pip install fedot ``` @@ -4791,7 +4791,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.9K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.6K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): ``` pip install hyperactive ``` @@ -4803,7 +4803,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 59K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 46K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` pip install featurewiz ``` @@ -4815,7 +4815,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 910 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 730 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -4839,7 +4839,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 7.5K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 5.8K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): ``` pip install autoviml ``` @@ -4851,19 +4851,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` pip install shap-hypetune ```
Show 32 hidden projects... -- scikit-optimize (πŸ₯ˆ32 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 +- scikit-optimize (πŸ₯ˆ32 Β· ⭐ 2.8K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - NNI (πŸ₯ˆ31 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - TPOT (πŸ₯ˆ31 Β· ⭐ 9.8K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 - auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.7K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- SMAC3 (πŸ₯ˆ26 Β· ⭐ 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause +- SMAC3 (πŸ₯ˆ27 Β· ⭐ 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ26 Β· ⭐ 930 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - AdaNet (πŸ₯ˆ24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT @@ -4879,8 +4879,8 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Dragonfly (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰19 Β· ⭐ 530 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰19 Β· ⭐ 330 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 -- Advisor (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 +- Advisor (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - HyperparameterHunter (πŸ₯‰17 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - automl-gs (πŸ₯‰16 Β· ⭐ 1.9K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - Parfit (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT @@ -4901,12 +4901,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (πŸ₯‡31 Β· ⭐ 10K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“¦ 56 Β· πŸ“‹ 720 - 33% open Β· ⏱️ 13.12.2024): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“¦ 57 Β· πŸ“‹ 720 - 33% open Β· ⏱️ 13.12.2024): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.5K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.4K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ``` @@ -4918,7 +4918,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 25K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 23K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): ``` pip install dopamine-rl ``` @@ -4930,7 +4930,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 36K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 35K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): ``` pip install tf-agents ``` @@ -4942,7 +4942,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 5.7K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 4.7K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): ``` pip install vizdoom ``` @@ -4954,7 +4954,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` @@ -4970,31 +4970,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 880 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 790 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
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PARL (πŸ₯‰25 Β· ⭐ 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯‰24 Β· ⭐ 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 810 Β· πŸ“¦ 130 Β· πŸ“‹ 540 - 24% open Β· ⏱️ 09.07.2024): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ```
RLax (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 87 Β· πŸ“¦ 290 Β· πŸ“‹ 26 - 30% open Β· ⏱️ 24.05.2024): +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 88 Β· πŸ“¦ 290 Β· πŸ“‹ 26 - 30% open Β· ⏱️ 24.05.2024): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 22K / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 19K / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5006,7 +5006,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 42 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 37 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -5018,7 +5018,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 580 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 490 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5058,30 +5058,46 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
Recommenders (πŸ₯‡33 Β· ⭐ 19K) - Best Practices on Recommendation Systems. MIT +
Recommenders (πŸ₯‡34 Β· ⭐ 20K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“₯ 640 Β· πŸ“¦ 140 Β· πŸ“‹ 870 - 18% open Β· ⏱️ 15.11.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“₯ 650 Β· πŸ“¦ 140 Β· πŸ“‹ 880 - 18% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 39K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 38K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2024): ``` pip install recommenders ```
torchrec (πŸ₯‡31 Β· ⭐ 2K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 440 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 72% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 440 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 72% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 26K / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 17K / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
+
Cornac (πŸ₯ˆ28 Β· ⭐ 900 Β· πŸ“ˆ) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 + +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 150 Β· πŸ“¦ 250 Β· πŸ“‹ 160 - 14% open Β· ⏱️ 24.12.2024): + + ``` + git clone https://github.com/PreferredAI/cornac + ``` +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 40K / month Β· πŸ“¦ 18 Β· ⏱️ 24.12.2024): + ``` + pip install cornac + ``` +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 640K Β· ⏱️ 24.12.2024): + ``` + conda install -c conda-forge cornac + ``` +
scikit-surprise (πŸ₯ˆ27 Β· ⭐ 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 21% open Β· ⏱️ 14.06.2024): @@ -5089,7 +5105,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 110K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 130K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): ``` pip install scikit-surprise ``` @@ -5098,42 +5114,26 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge scikit-surprise ```
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TF Ranking (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 +
TF Ranking (πŸ₯ˆ25 Β· ⭐ 2.8K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 480 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 74K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 59K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): ``` pip install tensorflow_ranking ```
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Cornac (πŸ₯ˆ26 Β· ⭐ 900) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 140 Β· πŸ“¦ 250 Β· πŸ“‹ 160 - 14% open Β· ⏱️ 18.12.2024): - - ``` - git clone https://github.com/PreferredAI/cornac - ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 42K / month Β· πŸ“¦ 18 Β· ⏱️ 15.08.2024): - ``` - pip install cornac - ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 630K Β· ⏱️ 13.09.2024): - ``` - conda install -c conda-forge cornac - ``` -
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TF Recommenders (πŸ₯‰25 Β· ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2 +
TF Recommenders (πŸ₯ˆ25 Β· ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 280 Β· πŸ“‹ 450 - 59% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 310K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 290K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ``` @@ -5145,11 +5145,11 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 57K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 58K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 6.8K Β· ⏱️ 01.11.2023): +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 7.2K Β· ⏱️ 01.11.2023): ``` conda install -c aibox recbole ``` @@ -5158,7 +5158,7 @@ _Libraries for building and evaluating recommendation systems._ - implicit (πŸ₯ˆ29 Β· ⭐ 3.6K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (πŸ₯ˆ28 Β· ⭐ 4.8K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 -- lkpy (πŸ₯‰25 Β· ⭐ 270) - Python recommendation toolkit. MIT +- lkpy (πŸ₯ˆ25 Β· ⭐ 270) - Python recommendation toolkit. MIT - fastFM (πŸ₯‰22 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - recmetrics (πŸ₯‰19 Β· ⭐ 570 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT @@ -5175,26 +5175,26 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡36 Β· ⭐ 9.6K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡35 Β· ⭐ 9.6K) - Perform data science on data that remains in someone elses server. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2.4K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 03.11.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 9.1K / month Β· πŸ“¦ 4 Β· ⏱️ 03.11.2024): ``` pip install syft ```
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Opacus (πŸ₯ˆ31 Β· ⭐ 1.7K) - Training PyTorch models with differential privacy. Apache-2 +
Opacus (πŸ₯ˆ32 Β· ⭐ 1.7K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“₯ 140 Β· πŸ“¦ 930 Β· πŸ“‹ 320 - 22% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“₯ 140 Β· πŸ“¦ 940 Β· πŸ“‹ 320 - 22% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 100K / month Β· πŸ“¦ 36 Β· ⏱️ 03.08.2024): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 90K / month Β· πŸ“¦ 36 Β· ⏱️ 03.08.2024): ``` pip install opacus ``` @@ -5222,7 +5222,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 20K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 18K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): ``` pip install tensorflow-privacy ``` @@ -5234,19 +5234,19 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 400 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 450 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ```
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TFEncrypted (πŸ₯‰23 Β· ⭐ 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 +
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 68 Β· πŸ“‹ 440 - 32% open Β· ⏱️ 25.09.2024): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 700 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 780 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5265,12 +5265,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 19K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 800 Β· πŸ”€ 4.3K Β· πŸ“¦ 48K Β· πŸ“‹ 4.3K - 38% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 810 Β· πŸ”€ 4.3K Β· πŸ“¦ 49K Β· πŸ“‹ 4.3K - 38% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 15M / month Β· πŸ“¦ 930 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 930 Β· ⏱️ 11.12.2024): ``` pip install mlflow ``` @@ -5279,14 +5279,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge mlflow ```
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Tensorboard (πŸ₯‡43 Β· ⭐ 6.7K) - TensorFlows Visualization Toolkit. Apache-2 +
Tensorboard (πŸ₯‡43 Β· ⭐ 6.8K) - TensorFlows Visualization Toolkit. Apache-2 - [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.7K Β· πŸ“¦ 280K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 18.12.2024): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 27M / month Β· πŸ“¦ 2.2K Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 26M / month Β· πŸ“¦ 2.2K Β· ⏱️ 25.09.2024): ``` pip install tensorboard ``` @@ -5297,7 +5297,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
wandb client (πŸ₯‡42 Β· ⭐ 9.3K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 680 Β· πŸ“₯ 410 Β· πŸ“¦ 61K Β· πŸ“‹ 3.4K - 17% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 680 Β· πŸ“₯ 420 Β· πŸ“¦ 62K Β· πŸ“‹ 3.4K - 17% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/wandb/client @@ -5306,30 +5306,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 800K Β· ⏱️ 14.12.2024): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 810K Β· ⏱️ 14.12.2024): ``` conda install -c conda-forge wandb ```
DVC (πŸ₯‡41 Β· ⭐ 14K) - Data Versioning and ML Experiments. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 20K Β· πŸ“‹ 4.7K - 5% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 20K Β· πŸ“‹ 4.7K - 5% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 530K / month Β· πŸ“¦ 130 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 490K / month Β· πŸ“¦ 130 Β· ⏱️ 01.12.2024): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 2.4M Β· ⏱️ 01.12.2024): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 2.5M Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge dvc ```
SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.1K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 5K Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 5K Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk @@ -5338,83 +5338,83 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.2M Β· ⏱️ 17.12.2024): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.3M Β· ⏱️ 17.12.2024): ``` conda install -c conda-forge sagemaker-python-sdk ```
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Metaflow (πŸ₯ˆ36 Β· ⭐ 8.4K) - Open Source AI/ML Platform. Apache-2 +
PyCaret (πŸ₯ˆ35 Β· ⭐ 9K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 770 Β· πŸ“¦ 770 Β· πŸ“‹ 760 - 43% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 720 Β· πŸ“¦ 6.9K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 30.08.2024): ``` - git clone https://github.com/Netflix/metaflow + git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 1.2M / month Β· πŸ“¦ 47 Β· ⏱️ 10.12.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 340K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): ``` - pip install metaflow + pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 240K Β· ⏱️ 05.12.2024): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 60K Β· ⏱️ 25.04.2024): ``` - conda install -c conda-forge metaflow + conda install -c conda-forge pycaret ```
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PyCaret (πŸ₯ˆ35 Β· ⭐ 9K) - An open-source, low-code machine learning library in Python. MIT +
Metaflow (πŸ₯ˆ35 Β· ⭐ 8.4K) - Open Source AI/ML Platform. Apache-2 -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 720 Β· πŸ“¦ 6.8K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 780 Β· πŸ“¦ 780 Β· πŸ“‹ 760 - 42% open Β· ⏱️ 20.12.2024): ``` - git clone https://github.com/pycaret/pycaret + git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 380K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 1.1M / month Β· πŸ“¦ 47 Β· ⏱️ 20.12.2024): ``` - pip install pycaret + pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 60K Β· ⏱️ 25.04.2024): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 240K Β· ⏱️ 05.12.2024): ``` - conda install -c conda-forge pycaret + conda install -c conda-forge metaflow ```
snakemake (πŸ₯ˆ34 Β· ⭐ 2.3K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 560 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.9K - 61% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 560 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.8K - 61% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 99K / month Β· πŸ“¦ 250 Β· ⏱️ 29.11.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 84K / month Β· πŸ“¦ 260 Β· ⏱️ 23.12.2024): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.3M Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.3M Β· ⏱️ 23.12.2024): ``` conda install -c bioconda snakemake ```
tensorboardX (πŸ₯ˆ33 Β· ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 460 Β· πŸ“¦ 52K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 16.11.2024): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 460 Β· πŸ“¦ 52K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 3.5M / month Β· πŸ“¦ 620 Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.8M / month Β· πŸ“¦ 620 Β· ⏱️ 20.08.2023): ``` pip install tensorboardX ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.2M Β· ⏱️ 20.08.2023): +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.2M Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge tensorboardx ```
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kaggle (πŸ₯ˆ33 Β· ⭐ 6.3K) - Official Kaggle API. Apache-2 +
kaggle (πŸ₯ˆ33 Β· ⭐ 6.4K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 490 - 30% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 490 - 29% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 260K / month Β· πŸ“¦ 210 Β· ⏱️ 24.07.2024): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 230K / month Β· πŸ“¦ 210 Β· ⏱️ 24.07.2024): ``` pip install kaggle ``` @@ -5425,12 +5425,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (πŸ₯ˆ33 Β· ⭐ 5.8K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 660 Β· πŸ“₯ 3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 660 Β· πŸ“₯ 3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 320K / month Β· πŸ“¦ 51 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 330K / month Β· πŸ“¦ 51 Β· ⏱️ 18.12.2024): ``` pip install clearml ``` @@ -5441,16 +5441,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 5.3K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“¦ 760 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“¦ 770 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 18.12.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 150K / month Β· πŸ“¦ 40 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 120K / month Β· πŸ“¦ 40 Β· ⏱️ 18.12.2024): ``` pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 90K Β· ⏱️ 14.06.2024): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 91K Β· ⏱️ 14.06.2024): ``` conda install -c conda-forge aim ``` @@ -5462,7 +5462,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 280K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 91K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): ``` pip install sacred ``` @@ -5478,7 +5478,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 310K / month Β· πŸ“¦ 31 Β· ⏱️ 10.12.2024): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 300K / month Β· πŸ“¦ 31 Β· ⏱️ 10.12.2024): ``` pip install azureml-sdk ``` @@ -5490,19 +5490,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 240K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 230K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): ``` pip install visualdl ```
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Neptune.ai (πŸ₯ˆ30 Β· ⭐ 590) - The experiment tracker for foundation model training. Apache-2 +
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 590) - The experiment tracker for foundation model training. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 64 Β· πŸ“¦ 700 Β· πŸ“‹ 240 - 10% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 64 Β· πŸ“¦ 700 Β· πŸ“‹ 240 - 11% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 520K / month Β· πŸ“¦ 77 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 530K / month Β· πŸ“¦ 77 Β· ⏱️ 31.10.2024): ``` pip install neptune-client ``` @@ -5513,72 +5513,72 @@ _Libraries to organize, track, and visualize machine learning experiments._
Labml (πŸ₯‰28 Β· ⭐ 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 200 Β· πŸ“‹ 48 - 10% open Β· ⏱️ 16.11.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 200 Β· πŸ“‹ 48 - 10% open Β· ⏱️ 22.12.2024): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 5K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.6K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): ``` pip install labml ```
ml-metadata (πŸ₯‰28 Β· ⭐ 630) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“₯ 2.8K Β· πŸ“¦ 600 Β· πŸ“‹ 120 - 38% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“₯ 2.9K Β· πŸ“¦ 610 Β· πŸ“‹ 120 - 38% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 86K / month Β· πŸ“¦ 31 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 80K / month Β· πŸ“¦ 31 Β· ⏱️ 01.10.2024): ``` pip install ml-metadata ```
TNT (πŸ₯‰26 Β· ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 280 Β· πŸ“‹ 150 - 56% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 280 Β· πŸ“‹ 150 - 56% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 4.9K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 4.5K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
quinn (πŸ₯‰26 Β· ⭐ 650) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 98 Β· πŸ“₯ 52 Β· πŸ“¦ 89 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): +- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 98 Β· πŸ“₯ 53 Β· πŸ“¦ 89 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 700K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 690K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` pip install quinn ```
gokart (πŸ₯‰25 Β· ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT -- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 58 Β· πŸ“¦ 84 Β· πŸ“‹ 85 - 25% open Β· ⏱️ 10.12.2024): +- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 60 Β· πŸ“¦ 84 Β· πŸ“‹ 85 - 25% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/m3dev/gokart ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.6K / month Β· πŸ“¦ 8 Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4K / month Β· πŸ“¦ 8 Β· ⏱️ 02.12.2024): ``` pip install gokart ```
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keepsake (πŸ₯‰18 Β· ⭐ 1.6K) - Version control for machine learning. Apache-2 +
keepsake (πŸ₯‰17 Β· ⭐ 1.6K) - Version control for machine learning. Apache-2 - [GitHub](https://github.com/replicate/keepsake) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 71 Β· πŸ“‹ 190 - 66% open Β· ⏱️ 03.12.2024): ``` git clone https://github.com/replicate/keepsake ``` -- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 170 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): ``` pip install keepsake ``` @@ -5590,19 +5590,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 440 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 400 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ```
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CometML (πŸ₯‰16) - Supercharging Machine Learning. MIT +
CometML (πŸ₯‰15) - Supercharging Machine Learning. MIT - [GitHub](): ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 450K / month Β· πŸ“¦ 83 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 320K / month Β· πŸ“¦ 83 Β· ⏱️ 23.12.2024): ``` pip install comet_ml ``` @@ -5640,12 +5640,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 18K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.7K Β· πŸ“₯ 23K Β· πŸ“¦ 38K Β· πŸ“‹ 2.9K - 12% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.7K Β· πŸ“₯ 23K Β· πŸ“¦ 38K Β· πŸ“‹ 2.9K - 11% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 6.4M / month Β· πŸ“¦ 1.1K Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 6M / month Β· πŸ“¦ 1.1K Β· ⏱️ 01.10.2024): ``` pip install onnx ``` @@ -5656,24 +5656,24 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (πŸ₯‡43 Β· ⭐ 14K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.7K Β· πŸ“¦ 47K Β· πŸ“‹ 1.6K - 43% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.7K Β· πŸ“¦ 47K Β· πŸ“‹ 1.6K - 43% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 16M / month Β· πŸ“¦ 260 Β· ⏱️ 14.10.2024): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 15M / month Β· πŸ“¦ 260 Β· ⏱️ 14.10.2024): ``` pip install triton ```
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 2.2K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 570 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 570 Β· πŸ“‹ 1K - 14% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 54M / month Β· πŸ“¦ 2.2K Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 51M / month Β· πŸ“¦ 2.2K Β· ⏱️ 16.12.2024): ``` pip install huggingface_hub ``` @@ -5684,44 +5684,44 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (πŸ₯ˆ36 Β· ⭐ 4.5K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 12K Β· πŸ“¦ 4.3K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 13K Β· πŸ“¦ 4.4K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 750K / month Β· πŸ“¦ 87 Β· ⏱️ 20.11.2024): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 640K / month Β· πŸ“¦ 87 Β· ⏱️ 20.11.2024): ``` pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 77K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge coremltools ```
BentoML (πŸ₯ˆ35 Β· ⭐ 7.2K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 800 Β· πŸ“₯ 850 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 800 Β· πŸ“₯ 810 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 110K / month Β· πŸ“¦ 31 Β· ⏱️ 12.12.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 99K / month Β· πŸ“¦ 33 Β· ⏱️ 24.12.2024): ``` pip install bentoml ```
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TorchServe (πŸ₯ˆ34 Β· ⭐ 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2 +
TorchServe (πŸ₯ˆ33 Β· ⭐ 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 870 Β· πŸ“₯ 7.3K Β· πŸ“¦ 780 Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 870 Β· πŸ“₯ 7.4K Β· πŸ“¦ 780 Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 55K / month Β· πŸ“¦ 22 Β· ⏱️ 30.09.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 46K / month Β· πŸ“¦ 22 Β· ⏱️ 30.09.2024): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 390K Β· ⏱️ 30.09.2024): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 400K Β· ⏱️ 30.09.2024): ``` conda install -c pytorch torchserve ``` @@ -5741,23 +5741,23 @@ _Libraries to serialize models to files, convert between a variety of model form ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 9.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 9.4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hls4ml ```
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Hummingbird (πŸ₯ˆ25 Β· ⭐ 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 770 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.6K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.3K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 53K Β· ⏱️ 20.11.2024): ``` conda install -c conda-forge hummingbird-ml ``` @@ -5769,7 +5769,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 680 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 600 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -5788,8 +5788,8 @@ _Libraries to serialize models to files, convert between a variety of model form
Show 10 hidden projects... -- mmdnn (πŸ₯ˆ25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT -- m2cgen (πŸ₯ˆ25 Β· ⭐ 2.8K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT +- mmdnn (πŸ₯‰25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +- m2cgen (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - cortex (πŸ₯‰23 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - OMLT (πŸ₯‰20 Β· ⭐ 290) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed @@ -5814,7 +5814,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7M / month Β· πŸ“¦ 750 Β· ⏱️ 27.06.2024): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 6.8M / month Β· πŸ“¦ 750 Β· ⏱️ 27.06.2024): ``` pip install shap ``` @@ -5825,24 +5825,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡37 Β· ⭐ 29K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.8K Β· πŸ“₯ 130K Β· πŸ“¦ 610 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.8K Β· πŸ“₯ 170K Β· πŸ“¦ 620 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 32K / month Β· πŸ“¦ 83 Β· ⏱️ 14.12.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 30K / month Β· πŸ“¦ 83 Β· ⏱️ 20.12.2024): ``` pip install netron ```
arviz (πŸ₯‡35 Β· ⭐ 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 410 Β· πŸ“₯ 180 Β· πŸ“¦ 8.6K Β· πŸ“‹ 870 - 20% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 410 Β· πŸ“₯ 180 Β· πŸ“¦ 8.6K Β· πŸ“‹ 870 - 20% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.3M / month Β· πŸ“¦ 310 Β· ⏱️ 28.09.2024): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.2M / month Β· πŸ“¦ 310 Β· ⏱️ 28.09.2024): ``` pip install arviz ``` @@ -5853,7 +5853,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
InterpretML (πŸ₯‡34 Β· ⭐ 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 810 Β· πŸ“‹ 460 - 23% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 810 Β· πŸ“‹ 460 - 23% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/interpretml/interpret @@ -5865,7 +5865,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Captum (πŸ₯‡34 Β· ⭐ 5K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 2.6K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 2.7K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/pytorch/captum @@ -5886,7 +5886,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 24K / month Β· πŸ“¦ 4 Β· ⏱️ 09.12.2024): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 09.12.2024): ``` pip install shapash ``` @@ -5898,7 +5898,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.7M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.5M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): ``` pip install evaluate ``` @@ -5910,7 +5910,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 190K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 400K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): ``` pip install fairlearn ``` @@ -5926,19 +5926,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 260K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 170K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): ``` pip install tensorflow-model-analysis ```
DoWhy (πŸ₯ˆ29 Β· ⭐ 7.2K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 940 Β· πŸ“₯ 42 Β· πŸ“¦ 470 Β· πŸ“‹ 480 - 27% open Β· ⏱️ 24.11.2024): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 940 Β· πŸ“₯ 42 Β· πŸ“¦ 480 Β· πŸ“‹ 480 - 27% open Β· ⏱️ 24.11.2024): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 55K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 50K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): ``` pip install dowhy ``` @@ -5949,16 +5949,16 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
LIT (πŸ₯ˆ29 Β· ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“¦ 42 Β· πŸ“‹ 200 - 57% open Β· ⏱️ 22.10.2024): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“¦ 42 Β· πŸ“‹ 210 - 57% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 7.3K / month Β· πŸ“¦ 3 Β· ⏱️ 22.10.2024): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 5.6K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): ``` pip install lit-nlp ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 99K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 100K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge lit-nlp ``` @@ -5970,23 +5970,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 64K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 59K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): ``` pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 57K Β· ⏱️ 18.03.2024): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 58K Β· ⏱️ 18.03.2024): ``` conda install -c conda-forge explainerdashboard ```
pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 6.7K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 6.8K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 23.04.2023): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 120K / month Β· πŸ“¦ 100 Β· ⏱️ 23.04.2023): ``` pip install pyldavis ``` @@ -6002,11 +6002,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 120K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 110K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 91K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 92K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ``` @@ -6018,7 +6018,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 120K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 68K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): ``` pip install imodels ``` @@ -6030,7 +6030,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 30K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 24K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` @@ -6046,7 +6046,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 8.1K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 7.8K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): ``` pip install raiwidgets ``` @@ -6058,19 +6058,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.9K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.8K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): ``` pip install causalnex ```
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Explainability 360 (πŸ₯‰24 Β· ⭐ 1.6K) - Interpretability and explainability of data and.. Apache-2 +
Explainability 360 (πŸ₯‰23 Β· ⭐ 1.6K) - Interpretability and explainability of data and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 110 Β· πŸ“‹ 85 - 63% open Β· ⏱️ 16.07.2024): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 870 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -6082,7 +6082,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 26K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 24K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): ``` pip install aequitas ``` @@ -6094,7 +6094,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 6.3K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 6.1K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6102,7 +6102,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 520 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 400 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ``` @@ -6114,7 +6114,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 640 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 590 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6130,7 +6130,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 35K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 32K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` pip install dice-ml ``` @@ -6166,7 +6166,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 4K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.8K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ``` @@ -6178,7 +6178,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 800 / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 700 / month Β· ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -6190,14 +6190,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 200 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 160 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ```
Show 26 hidden projects... -- Lime (πŸ₯‡32 Β· ⭐ 12K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 +- Lime (πŸ₯‡33 Β· ⭐ 12K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (πŸ₯ˆ29 Β· ⭐ 3.7K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - DALEX (πŸ₯ˆ28 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 @@ -6205,14 +6205,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Alibi (πŸ₯ˆ27 Β· ⭐ 2.4K) - Algorithms for explaining machine learning models. ❗️Intel - eli5 (πŸ₯ˆ26 Β· ⭐ 2.8K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - Lucid (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 -- keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - iNNvestigate (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 +- keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- keract (πŸ₯‰23 Β· ⭐ 1K Β· πŸ’€) - Layers Outputs and Gradients in Keras. Made easy. MIT +- keract (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ’€) - Layers Outputs and Gradients in Keras. Made easy. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT +- Quantus (πŸ₯‰22 Β· ⭐ 570) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - deeplift (πŸ₯‰21 Β· ⭐ 840 Β· πŸ’€) - Public facing deeplift repo. MIT - TreeInterpreter (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 -- Quantus (πŸ₯‰21 Β· ⭐ 570) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - tcav (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - XAI (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - sklearn-evaluation (πŸ₯‰18 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT @@ -6234,36 +6234,36 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit πŸ”— ANN Benchmarks ( ⭐ 5K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Faiss (πŸ₯‡41 Β· ⭐ 32K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Milvus (πŸ₯‡42 Β· ⭐ 32K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database.. Apache-2 -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.6K Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.6K - 9% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“₯ 290K Β· πŸ“‹ 12K - 6% open Β· ⏱️ 26.12.2024): ``` - git clone https://github.com/facebookresearch/faiss + git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.4M / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.3M / month Β· πŸ“¦ 200 Β· ⏱️ 26.12.2024): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 2M Β· ⏱️ 09.08.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 66 Β· ⏱️ 26.12.2024): ``` - conda install -c conda-forge faiss + docker pull milvusdb/milvus ```
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Milvus (πŸ₯‡41 Β· ⭐ 31K) - A cloud-native vector database, storage for next generation AI.. Apache-2 +
Faiss (πŸ₯‡41 Β· ⭐ 32K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“₯ 290K Β· πŸ“‹ 12K - 6% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.6K Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.6K - 9% open Β· ⏱️ 23.12.2024): ``` - git clone https://github.com/milvus-io/milvus + git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.4M / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.3M / month Β· πŸ“¦ 200 Β· ⏱️ 26.12.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 66 Β· ⏱️ 19.12.2024): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 2M Β· ⏱️ 20.12.2024): ``` - docker pull milvusdb/milvus + conda install -c conda-forge faiss ```
Annoy (πŸ₯ˆ34 Β· ⭐ 13K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 @@ -6273,65 +6273,65 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 860K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 850K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 590K Β· ⏱️ 05.09.2024): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 600K Β· ⏱️ 05.09.2024): ``` conda install -c conda-forge python-annoy ```
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hnswlib (πŸ₯ˆ32 Β· ⭐ 4.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 +
hnswlib (πŸ₯ˆ32 Β· ⭐ 4.5K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 660 Β· πŸ“¦ 7.3K Β· πŸ“‹ 410 - 59% open Β· ⏱️ 17.06.2024): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 660 Β· πŸ“¦ 7.4K Β· πŸ“‹ 410 - 59% open Β· ⏱️ 17.06.2024): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 730K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 670K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` -- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 270K Β· ⏱️ 20.11.2024): +- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 280K Β· ⏱️ 20.11.2024): ``` conda install -c conda-forge hnswlib ```
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USearch (πŸ₯ˆ31 Β· ⭐ 2.3K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 +
NMSLIB (πŸ₯ˆ31 Β· ⭐ 3.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 150 Β· πŸ“₯ 39K Β· πŸ“¦ 140 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 13.12.2024): +- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 450 Β· πŸ“¦ 1.3K Β· πŸ“‹ 440 - 20% open Β· ⏱️ 21.09.2024): ``` - git clone https://github.com/unum-cloud/usearch - ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 300K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2024): - ``` - pip install usearch + git clone https://github.com/nmslib/nmslib ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.7K / month Β· πŸ“¦ 15 Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 490K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): ``` - npm install usearch + pip install nmslib ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 170 Β· ⭐ 1 Β· ⏱️ 21.11.2024): +- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 170K Β· ⏱️ 09.09.2024): ``` - docker pull unum/usearch + conda install -c conda-forge nmslib ```
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NMSLIB (πŸ₯‰30 Β· ⭐ 3.4K Β· πŸ“‰) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 +
USearch (πŸ₯ˆ31 Β· ⭐ 2.4K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 450 Β· πŸ“¦ 1.3K Β· πŸ“‹ 440 - 20% open Β· ⏱️ 21.09.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 150 Β· πŸ“₯ 40K Β· πŸ“¦ 150 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 13.12.2024): ``` - git clone https://github.com/nmslib/nmslib + git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 490K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 260K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2024): ``` - pip install nmslib + pip install usearch ``` -- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 170K Β· ⏱️ 09.09.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 7.2K / month Β· πŸ“¦ 15 Β· ⏱️ 13.12.2024): ``` - conda install -c conda-forge nmslib + npm install usearch + ``` +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 170 Β· ⭐ 1 Β· ⏱️ 21.11.2024): + ``` + docker pull unum/usearch ```
PyNNDescent (πŸ₯‰27 Β· ⭐ 910) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 @@ -6341,7 +6341,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.9M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.7M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): ``` pip install pynndescent ``` @@ -6357,7 +6357,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 3K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.8K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6365,7 +6365,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Show 4 hidden projects... - Magnitude (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT -- NearPy (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT +- NearPy (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (πŸ₯‰20 Β· ⭐ 570 Β· πŸ’€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - PySparNN (πŸ₯‰11 Β· ⭐ 920 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
@@ -6379,7 +6379,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡41 Β· ⭐ 8.8K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 5K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 5.1K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/pymc-devs/pymc @@ -6388,7 +6388,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install pymc3 ``` -- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 620K Β· ⏱️ 02.06.2024): +- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 630K Β· ⏱️ 21.12.2024): ``` conda install -c conda-forge pymc3 ``` @@ -6416,19 +6416,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 110K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 92K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): ``` pip install pgmpy ```
patsy (πŸ₯‡34 Β· ⭐ 960) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 110K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 110K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 15M / month Β· πŸ“¦ 530 Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 14M / month Β· πŸ“¦ 530 Β· ⏱️ 12.11.2024): ``` pip install patsy ``` @@ -6453,14 +6453,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pyro-ppl ```
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GPyTorch (πŸ₯ˆ32 Β· ⭐ 3.6K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT +
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.6K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 240K / month Β· πŸ“¦ 170 Β· ⏱️ 06.09.2024): ``` pip install gpytorch ``` @@ -6469,14 +6469,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge gpytorch ```
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hmmlearn (πŸ₯ˆ32 Β· ⭐ 3.1K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
hmmlearn (πŸ₯ˆ31 Β· ⭐ 3.1K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 3K Β· πŸ“‹ 450 - 15% open Β· ⏱️ 31.10.2024): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 990K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 340K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): ``` pip install hmmlearn ``` @@ -6485,14 +6485,30 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge hmmlearn ```
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emcee (πŸ₯ˆ31 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT +
pandas-ta (πŸ₯ˆ30 Β· ⭐ 5.6K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT + +- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.5K Β· πŸ“‹ 610 - 17% open Β· ⏱️ 24.06.2024): + + ``` + git clone https://github.com/twopirllc/pandas-ta + ``` +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 160K / month Β· πŸ“¦ 140 Β· ⏱️ 28.07.2021): + ``` + pip install pandas-ta + ``` +- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 23K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pandas-ta + ``` +
+
emcee (πŸ₯ˆ30 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 430 Β· πŸ“¦ 2.7K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.12.2024): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 800K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 290K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): ``` pip install emcee ``` @@ -6501,14 +6517,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge emcee ```
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SALib (πŸ₯ˆ31 Β· ⭐ 890) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
SALib (πŸ₯ˆ30 Β· ⭐ 890) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 230 Β· πŸ“¦ 1.4K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 10.10.2024): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 240 Β· πŸ“¦ 1.4K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 10.10.2024): ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 920K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 350K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): ``` pip install salib ``` @@ -6517,36 +6533,36 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge salib ```
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pandas-ta (πŸ₯‰30 Β· ⭐ 5.6K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +
GPflow (πŸ₯‰29 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.5K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 24.06.2024): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 710 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 04.10.2024): ``` - git clone https://github.com/twopirllc/pandas-ta + git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 260K / month Β· πŸ“¦ 140 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 71K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): ``` - pip install pandas-ta + pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/pandas-ta) (πŸ“₯ 23K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 38K Β· ⏱️ 26.06.2024): ``` - conda install -c conda-forge pandas-ta + conda install -c conda-forge gpflow ```
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GPflow (πŸ₯‰29 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 +
bambi (πŸ₯‰28 Β· ⭐ 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 710 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 04.10.2024): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 130 Β· πŸ“¦ 160 Β· πŸ“‹ 420 - 19% open Β· ⏱️ 21.12.2024): ``` - git clone https://github.com/GPflow/GPflow + git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 70K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 24K / month Β· πŸ“¦ 14 Β· ⏱️ 21.12.2024): ``` - pip install gpflow + pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 38K Β· ⏱️ 26.06.2024): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 41K Β· ⏱️ 23.12.2024): ``` - conda install -c conda-forge gpflow + conda install -c conda-forge bambi ```
PyStan (πŸ₯‰28 Β· ⭐ 340) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC @@ -6556,11 +6572,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/stan-dev/pystan ``` -- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 750K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): +- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 720K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): ``` pip install pystan ``` -- [Conda](https://anaconda.org/conda-forge/pystan): +- [Conda](https://anaconda.org/conda-forge/pystan) (πŸ“₯ 2.9M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pystan ``` @@ -6572,31 +6588,15 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 16K / month Β· πŸ“¦ 59 Β· ⏱️ 18.10.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 15K / month Β· πŸ“¦ 59 Β· ⏱️ 18.10.2024): ``` pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 190K Β· ⏱️ 10.12.2023): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 190K Β· ⏱️ 22.12.2024): ``` conda install -c conda-forge pomegranate ```
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bambi (πŸ₯‰27 Β· ⭐ 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT - -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 130 Β· πŸ“¦ 160 Β· πŸ“‹ 420 - 19% open Β· ⏱️ 16.12.2024): - - ``` - git clone https://github.com/bambinos/bambi - ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 26K / month Β· πŸ“¦ 10 Β· ⏱️ 10.07.2024): - ``` - pip install bambi - ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 41K Β· ⏱️ 10.07.2024): - ``` - conda install -c conda-forge bambi - ``` -
scikit-posthocs (πŸ₯‰26 Β· ⭐ 350) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT - [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 40 Β· πŸ“₯ 66 Β· πŸ“¦ 930 Β· πŸ“‹ 63 - 4% open Β· ⏱️ 18.12.2024): @@ -6608,23 +6608,35 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install scikit-posthocs ``` -- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 990K Β· ⏱️ 18.12.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 990K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge scikit-posthocs ```
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Orbit (πŸ₯‰23 Β· ⭐ 1.9K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 +
Orbit (πŸ₯‰24 Β· ⭐ 1.9K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 - [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 64 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 10.07.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 11K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ```
+
TorchUncertainty (πŸ₯‰22 Β· ⭐ 330) - Open-source framework for uncertainty and deep.. Apache-2 + +- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 21 Β· πŸ“‹ 38 - 28% open Β· ⏱️ 19.11.2024): + + ``` + git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty + ``` +- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 790 / month Β· πŸ“¦ 3 Β· ⏱️ 18.11.2024): + ``` + pip install torch-uncertainty + ``` +
Baal (πŸ₯‰21 Β· ⭐ 880) - Bayesian active learning library for research and industrial usecases. Apache-2 - [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 86 Β· πŸ“¦ 62 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.06.2024): @@ -6632,7 +6644,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): ``` pip install baal ``` @@ -6641,22 +6653,10 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge baal ```
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TorchUncertainty (πŸ₯‰21 Β· ⭐ 320) - Open-source framework for uncertainty and deep.. Apache-2 - -- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 20 Β· πŸ“‹ 38 - 28% open Β· ⏱️ 19.11.2024): - - ``` - git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty - ``` -- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 920 / month Β· πŸ“¦ 3 Β· ⏱️ 18.11.2024): - ``` - pip install torch-uncertainty - ``` -
Show 6 hidden projects... -- filterpy (πŸ₯ˆ32 Β· ⭐ 3.4K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- pingouin (πŸ₯‰30 Β· ⭐ 1.7K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- filterpy (πŸ₯ˆ31 Β· ⭐ 3.4K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT +- pingouin (πŸ₯ˆ30 Β· ⭐ 1.7K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - pyhsmm (πŸ₯‰21 Β· ⭐ 550 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT - Funsor (πŸ₯‰19 Β· ⭐ 240 Β· πŸ’€) - Functional tensors for probabilistic programming. Apache-2 @@ -6670,18 +6670,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._ -
ART (πŸ₯‡34 Β· ⭐ 5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +
ART (πŸ₯‡35 Β· ⭐ 5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 630 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 13.12.2024): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 630 Β· πŸ“‹ 1K - 14% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 73K / month Β· πŸ“¦ 20 Β· ⏱️ 02.10.2024): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 63K / month Β· πŸ“¦ 20 Β· ⏱️ 20.12.2024): ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 57K Β· ⏱️ 03.10.2024): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 57K Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge adversarial-robustness-toolbox ``` @@ -6693,7 +6693,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 6.3K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -6709,7 +6709,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 5.5K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 5.2K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` pip install foolbox ``` @@ -6737,32 +6737,32 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
CuPy (πŸ₯‡39 Β· ⭐ 9.6K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 860 Β· πŸ“₯ 190K Β· πŸ“¦ 2.4K Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 860 Β· πŸ“₯ 190K Β· πŸ“¦ 2.4K Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 63K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 38K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): ``` pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 5.2M Β· ⏱️ 18.10.2024): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 5.3M Β· ⏱️ 18.10.2024): ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 72K Β· ⭐ 13 Β· ⏱️ 22.08.2024): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 73K Β· ⭐ 13 Β· ⏱️ 22.08.2024): ``` docker pull cupy/cupy ```
optimum (πŸ₯‡36 Β· ⭐ 2.6K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 470 Β· πŸ“¦ 4.1K Β· πŸ“‹ 870 - 48% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 480 Β· πŸ“¦ 4.2K Β· πŸ“‹ 880 - 48% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.3M / month Β· πŸ“¦ 180 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1M / month Β· πŸ“¦ 180 Β· ⏱️ 29.10.2024): ``` pip install optimum ``` @@ -6771,14 +6771,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge optimum ```
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cuDF (πŸ₯ˆ35 Β· ⭐ 8.5K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯ˆ35 Β· ⭐ 8.6K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 910 Β· πŸ“¦ 59 Β· πŸ“‹ 6.7K - 16% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 910 Β· πŸ“¦ 59 Β· πŸ“‹ 6.7K - 16% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.4K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.1K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): ``` pip install cudf ``` @@ -6790,11 +6790,11 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 86K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 78K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 670K Β· ⏱️ 17.08.2024): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 680K Β· ⏱️ 17.08.2024): ``` conda install -c conda-forge pycuda ``` @@ -6813,52 +6813,52 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (πŸ₯ˆ31 Β· ⭐ 4.3K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 540 Β· πŸ“‹ 2.5K - 36% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 540 Β· πŸ“‹ 2.5K - 36% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 4K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 3.8K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): ``` pip install cuml ```
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gpustat (πŸ₯ˆ29 Β· ⭐ 4.1K Β· πŸ’€) - A simple command-line utility for querying and monitoring GPU status. MIT +
gpustat (πŸ₯ˆ30 Β· ⭐ 4.1K Β· πŸ’€) - A simple command-line utility for querying and monitoring GPU status. MIT - [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 280 Β· πŸ“¦ 6.5K Β· πŸ“‹ 120 - 22% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 610K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 570K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 300K Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 300K Β· ⏱️ 25.12.2024): ``` conda install -c conda-forge gpustat ```
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.6K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 530 Β· πŸ“₯ 7.5K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 530 Β· πŸ“₯ 7.6K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 2.7K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 2.4K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯‰27 Β· ⭐ 1.8K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 21.12.2024): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 370 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 340 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -6869,7 +6869,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 5.2K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 620 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 620 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/NVIDIA/DALI @@ -6882,7 +6882,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 300 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 280 / month Β· ⏱️ 20.01.2024): ``` pip install kp ``` @@ -6894,7 +6894,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 9K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 8.1K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -6920,12 +6920,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.6K Β· πŸ“¦ 21K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1.6K Β· πŸ“¦ 21K Β· πŸ“‹ 1.5K - 49% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.9M / month Β· πŸ“¦ 330 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.8M / month Β· πŸ“¦ 330 Β· ⏱️ 30.10.2024): ``` pip install tensorflow-datasets ``` @@ -6941,7 +6941,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 33K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 31K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): ``` pip install tfx ``` @@ -6953,7 +6953,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.1M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` @@ -6981,31 +6981,31 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.2M / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 970K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): ``` pip install tensorflow-io ```
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TF Model Optimization (πŸ₯ˆ29 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 +
TF Model Optimization (πŸ₯ˆ28 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 320 Β· πŸ“‹ 400 - 57% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 710K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 590K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ```
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TensorFlow Transform (πŸ₯‰28 Β· ⭐ 990) - Input pipeline framework. Apache-2 +
TensorFlow Transform (πŸ₯ˆ28 Β· ⭐ 990) - Input pipeline framework. Apache-2 - [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 220 Β· πŸ“‹ 210 - 18% open Β· ⏱️ 27.11.2024): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 520K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 470K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): ``` pip install tensorflow-transform ``` @@ -7017,7 +7017,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 6.1K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 5.6K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` pip install neural-structured-learning ``` @@ -7029,19 +7029,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 14K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 13K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): ``` pip install saliency ```
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TF Compression (πŸ₯‰22 Β· ⭐ 860) - Data compression in TensorFlow. Apache-2 +
TF Compression (πŸ₯‰22 Β· ⭐ 870) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 17.12.2024): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.3K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ``` @@ -7053,15 +7053,15 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 37K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
Show 5 hidden projects... -- tensor2tensor (πŸ₯ˆ33 Β· ⭐ 16K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 -- Keras-Preprocessing (πŸ₯‰28 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT +- tensor2tensor (πŸ₯ˆ32 Β· ⭐ 16K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 +- Keras-Preprocessing (πŸ₯ˆ28 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT @@ -7076,24 +7076,24 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡31 Β· ⭐ 2.2K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 140 Β· πŸ“¦ 890 Β· πŸ“‹ 480 - 34% open Β· ⏱️ 08.12.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 140 Β· πŸ“¦ 900 Β· πŸ“‹ 480 - 34% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 310K / month Β· πŸ“¦ 200 Β· ⏱️ 08.12.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 290K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): ``` pip install equinox ```
evojax (πŸ₯‰19 Β· ⭐ 860) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 89 Β· πŸ“¦ 27 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 91 Β· πŸ“¦ 27 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 1.4K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 1.5K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): ``` pip install evojax ``` @@ -7121,43 +7121,43 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 830K / month Β· πŸ“¦ 190 Β· ⏱️ 15.11.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 740K / month Β· πŸ“¦ 190 Β· ⏱️ 15.11.2024): ``` pip install mlxtend ``` -- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 330K Β· ⏱️ 16.11.2024): +- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 340K Β· ⏱️ 16.11.2024): ``` conda install -c conda-forge mlxtend ```
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 -- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 180 Β· πŸ“¦ 13K Β· πŸ“‹ 240 - 18% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 180 Β· πŸ“¦ 13K Β· πŸ“‹ 240 - 18% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 180K / month Β· πŸ“¦ 55 Β· ⏱️ 12.12.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 120K / month Β· πŸ“¦ 55 Β· ⏱️ 12.12.2024): ``` pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 390K Β· ⏱️ 13.11.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 400K Β· ⏱️ 13.11.2024): ``` conda install -c conda-forge scikit-learn-intelex ```
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imbalanced-learn (πŸ₯ˆ33 Β· ⭐ 6.9K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯ˆ34 Β· ⭐ 6.9K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.3K Β· πŸ“‹ 620 - 7% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 1.3K Β· πŸ“‹ 620 - 7% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 16M / month Β· πŸ“¦ 450 Β· ⏱️ 04.10.2024): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 15M / month Β· πŸ“¦ 480 Β· ⏱️ 20.12.2024): ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 640K Β· ⏱️ 04.10.2024): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 650K Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge imbalanced-learn ``` @@ -7169,11 +7169,11 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.5M / month Β· πŸ“¦ 280 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.4M / month Β· πŸ“¦ 280 Β· ⏱️ 01.10.2024): ``` pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 290K Β· ⏱️ 02.10.2024): +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 290K Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge category_encoders ``` @@ -7185,7 +7185,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 26K / month Β· πŸ“¦ 13 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 25K / month Β· πŸ“¦ 13 Β· ⏱️ 17.12.2024): ``` pip install scikit-lego ``` @@ -7201,19 +7201,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 4.9K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 4.6K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ```
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iterative-stratification (πŸ₯‰23 Β· ⭐ 850) - scikit-learn cross validators for iterative.. BSD-3 +
iterative-stratification (πŸ₯‰23 Β· ⭐ 860) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 520 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): ``` git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 46K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 40K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): ``` pip install iterative-stratification ``` @@ -7225,7 +7225,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/amueller/dabl ``` -- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 5.8K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 5.2K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): ``` pip install dabl ``` @@ -7249,7 +7249,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 3.2K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7260,7 +7260,7 @@ _Libraries that extend scikit-learn with additional capabilities._ - fancyimpute (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - scikit-multilearn (πŸ₯ˆ27 Β· ⭐ 920 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 - sklearn-crfsuite (πŸ₯‰26 Β· ⭐ 430 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT -- sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 +- sklearn-contrib-lightning (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - combo (πŸ₯‰21 Β· ⭐ 640 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - skope-rules (πŸ₯‰21 Β· ⭐ 620 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (πŸ₯‰20 Β· ⭐ 210) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 @@ -7276,28 +7276,28 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡40 Β· ⭐ 8.1K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 990 Β· πŸ“¦ 63K Β· πŸ“‹ 1.7K - 7% open Β· ⏱️ 13.12.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 990 Β· πŸ“¦ 64K Β· πŸ“‹ 1.7K - 7% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8.4M / month Β· πŸ“¦ 1.7K Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.9M / month Β· πŸ“¦ 1.7K Β· ⏱️ 13.12.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 260K Β· ⏱️ 16.12.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 270K Β· ⏱️ 16.12.2024): ``` conda install -c conda-forge accelerate ```
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PML (πŸ₯‡35 Β· ⭐ 6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT +
PML (πŸ₯‡35 Β· ⭐ 6.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 660 Β· πŸ“¦ 2.1K Β· πŸ“‹ 520 - 13% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 660 Β· πŸ“¦ 2.2K Β· πŸ“‹ 520 - 13% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 850K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 670K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): ``` pip install pytorch-metric-learning ``` @@ -7308,7 +7308,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡33 Β· ⭐ 27K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3K Β· πŸ“¦ 150 Β· πŸ“‹ 830 - 16% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3K Β· πŸ“¦ 150 Β· πŸ“‹ 830 - 16% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/geohot/tinygrad @@ -7321,7 +7321,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 760K / month Β· πŸ“¦ 120 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 790K / month Β· πŸ“¦ 120 Β· ⏱️ 21.11.2024): ``` pip install torchdiffeq ``` @@ -7330,18 +7330,6 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchdiffeq ```
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Pytorch Toolbelt (πŸ₯ˆ26 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 130 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 21.11.2024): - - ``` - git clone https://github.com/BloodAxe/pytorch-toolbelt - ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 8.5K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): - ``` - pip install pytorch_toolbelt - ``` -
torch-scatter (πŸ₯ˆ25 Β· ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“‹ 400 - 7% open Β· ⏱️ 02.12.2024): @@ -7349,11 +7337,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 40K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 38K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 580K Β· ⏱️ 05.11.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 590K Β· ⏱️ 05.11.2024): ``` conda install -c conda-forge pytorch_scatter ``` @@ -7365,11 +7353,23 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rwightman/gen-efficientnet-pytorch ``` -- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 150K / month Β· πŸ“¦ 4 Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 160K / month Β· πŸ“¦ 4 Β· ⏱️ 08.07.2021): ``` pip install geffnet ```
+
Pytorch Toolbelt (πŸ₯ˆ25 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT + +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 130 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 21.11.2024): + + ``` + git clone https://github.com/BloodAxe/pytorch-toolbelt + ``` +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): + ``` + pip install pytorch_toolbelt + ``` +
PyTorch Sparse (πŸ₯‰23 Β· ⭐ 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 150 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 12.11.2024): @@ -7377,11 +7377,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 29K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 27K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 540K Β· ⏱️ 05.11.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 550K Β· ⏱️ 05.11.2024): ``` conda install -c conda-forge pytorch_sparse ``` @@ -7389,7 +7389,7 @@ _Libraries that extend Pytorch with additional capabilities._
Show 24 hidden projects... - torchsde (πŸ₯ˆ30 Β· ⭐ 1.6K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 9.1K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 8K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 - lightning-flash (πŸ₯ˆ27 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 @@ -7403,9 +7403,9 @@ _Libraries that extend Pytorch with additional capabilities._ - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - reformer-pytorch (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT - Poutyne (πŸ₯‰21 Β· ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Performer Pytorch (πŸ₯‰20 Β· ⭐ 1.1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - pytorchviz (πŸ₯‰19 Β· ⭐ 3.3K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT +- Lambda Networks (πŸ₯‰19 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Torch-Struct (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Tensor Sensor (πŸ₯‰17 Β· ⭐ 800 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT @@ -7431,12 +7431,12 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡50 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.2K Β· πŸ“₯ 440K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.2K Β· πŸ“₯ 440K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 16% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 120M / month Β· πŸ“¦ 48K Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 120M / month Β· πŸ“¦ 49K Β· ⏱️ 24.12.2024): ``` pip install scipy ``` @@ -7447,12 +7447,12 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (πŸ₯‡49 Β· ⭐ 13K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.5K Β· πŸ“₯ 550K Β· πŸ“¦ 200K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.5K Β· πŸ“₯ 550K Β· πŸ“¦ 200K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 32M / month Β· πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 30M / month Β· πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): ``` pip install sympy ``` @@ -7463,48 +7463,48 @@ _Libraries for connecting to, operating, and querying databases._
Streamlit (πŸ₯‡46 Β· ⭐ 36K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 3.1K Β· πŸ“¦ 630K Β· πŸ“‹ 4.8K - 20% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 3.1K Β· πŸ“¦ 640K Β· πŸ“‹ 4.8K - 20% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 7.7M / month Β· πŸ“¦ 3K Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 6.6M / month Β· πŸ“¦ 3K Β· ⏱️ 13.12.2024): ``` pip install streamlit ```
Gradio (πŸ₯‡44 Β· ⭐ 35K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.6K Β· πŸ“¦ 50K Β· πŸ“‹ 5.1K - 8% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.6K Β· πŸ“¦ 51K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.4M / month Β· πŸ“¦ 930 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.1M / month Β· πŸ“¦ 930 Β· ⏱️ 16.12.2024): ``` pip install gradio ```
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carla (πŸ₯‡37 Β· ⭐ 12K Β· πŸ“ˆ) - Open-source simulator for autonomous driving research. MIT +
carla (πŸ₯‡37 Β· ⭐ 12K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.7K Β· πŸ“¦ 880 Β· πŸ“‹ 5.7K - 19% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.7K Β· πŸ“¦ 880 Β· πŸ“‹ 5.7K - 19% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 15K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 14K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): ``` pip install carla ```
Autograd (πŸ₯‡37 Β· ⭐ 7.1K) - Efficiently computes derivatives of NumPy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 910 Β· πŸ“¦ 11K Β· πŸ“‹ 420 - 42% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 910 Β· πŸ“¦ 11K Β· πŸ“‹ 420 - 42% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 4.7M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.9M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): ``` pip install autograd ``` @@ -7515,28 +7515,28 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (πŸ₯‡37 Β· ⭐ 2.4K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“₯ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“₯ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 72K / month Β· πŸ“¦ 120 Β· ⏱️ 05.11.2024): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 66K / month Β· πŸ“¦ 120 Β· ⏱️ 05.11.2024): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 180K Β· ⏱️ 09.07.2024): ``` conda install -c conda-forge pennylane ```
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PyOD (πŸ₯ˆ35 Β· ⭐ 8.7K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 +
PyOD (πŸ₯ˆ36 Β· ⭐ 8.7K Β· πŸ“ˆ) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 1.4K Β· πŸ“¦ 4.6K Β· πŸ“‹ 370 - 60% open Β· ⏱️ 12.11.2024): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 1.4K Β· πŸ“¦ 4.6K Β· πŸ“‹ 370 - 60% open Β· ⏱️ 22.12.2024): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 690K / month Β· πŸ“¦ 110 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 650K / month Β· πŸ“¦ 120 Β· ⏱️ 22.12.2024): ``` pip install pyod ``` @@ -7545,22 +7545,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyod ```
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DeepChem (πŸ₯ˆ35 Β· ⭐ 5.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT - -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 470 Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 18.12.2024): - - ``` - git clone https://github.com/deepchem/deepchem - ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 59K / month Β· πŸ“¦ 14 Β· ⏱️ 18.12.2024): - ``` - pip install deepchem - ``` -- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 05.04.2024): - ``` - conda install -c conda-forge deepchem - ``` -
agate (πŸ₯ˆ35 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT - [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 4.2K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 30.07.2024): @@ -7568,7 +7552,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 14M / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 13M / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): ``` pip install agate ``` @@ -7577,7 +7561,7 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge agate ```
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Datasette (πŸ₯ˆ34 Β· ⭐ 9.6K) - An open source multi-tool for exploring and publishing data. Apache-2 +
Datasette (πŸ₯ˆ34 Β· ⭐ 9.7K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 690 Β· πŸ“₯ 69 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 29.11.2024): @@ -7593,6 +7577,22 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datasette ```
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DeepChem (πŸ₯ˆ34 Β· ⭐ 5.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT + +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 480 Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 24.12.2024): + + ``` + git clone https://github.com/deepchem/deepchem + ``` +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 50K / month Β· πŸ“¦ 14 Β· ⏱️ 24.12.2024): + ``` + pip install deepchem + ``` +- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 05.04.2024): + ``` + conda install -c conda-forge deepchem + ``` +
hdbscan (πŸ₯ˆ34 Β· ⭐ 2.8K) - A high performance implementation of HDBSCAN clustering. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 500 Β· πŸ“¦ 4.5K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 18.11.2024): @@ -7600,7 +7600,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 840K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 740K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): ``` pip install hdbscan ``` @@ -7616,29 +7616,29 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 390K / month Β· πŸ“¦ 21 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 360K / month Β· πŸ“¦ 21 Β· ⏱️ 31.10.2024): ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 790K Β· ⏱️ 23.11.2024): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 800K Β· ⏱️ 23.11.2024): ``` conda install -c conda-forge pythran ```
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datalad (πŸ₯ˆ33 Β· ⭐ 550) - Keep code, data, containers under control with git and git-annex. MIT +
tensorly (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ“ˆ) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 440 Β· πŸ“‹ 4K - 13% open Β· ⏱️ 15.12.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“¦ 850 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 23.12.2024): ``` - git clone https://github.com/datalad/datalad + git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 49K / month Β· πŸ“¦ 99 Β· ⏱️ 15.12.2024): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 83K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): ``` - pip install datalad + pip install tensorly ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 690K Β· ⏱️ 20.11.2024): +- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 370K Β· ⏱️ 10.06.2024): ``` - conda install -c conda-forge datalad + conda install -c conda-forge tensorly ```
River (πŸ₯ˆ32 Β· ⭐ 5.1K) - Online machine learning in Python. BSD-3 @@ -7648,51 +7648,51 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 91K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 82K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 91K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 92K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge river ```
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PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 +
datalad (πŸ₯ˆ32 Β· ⭐ 550) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 2.1K Β· πŸ“₯ 840 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 07.08.2024): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 440 Β· πŸ“‹ 4K - 13% open Β· ⏱️ 15.12.2024): ``` - git clone https://github.com/PaddlePaddle/PaddleHub + git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 99 Β· ⏱️ 15.12.2024): ``` - pip install paddlehub + pip install datalad + ``` +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 700K Β· ⏱️ 20.11.2024): + ``` + conda install -c conda-forge datalad ```
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tensorly (πŸ₯ˆ31 Β· ⭐ 1.6K Β· πŸ“‰) - TensorLy: Tensor Learning in Python. BSD-2 +
PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 2.1K Β· πŸ“₯ 840 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 07.08.2024): ``` - git clone https://github.com/tensorly/tensorly - ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 170K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): - ``` - pip install tensorly + git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 370K Β· ⏱️ 10.06.2024): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.7K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): ``` - conda install -c conda-forge tensorly + pip install paddlehub ```
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 780 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 780 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 93K / month Β· πŸ“¦ 36 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 85K / month Β· πŸ“¦ 36 Β· ⏱️ 04.12.2024): ``` pip install pyjanitor ``` @@ -7708,7 +7708,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 81K / month Β· πŸ“¦ 170 Β· ⏱️ 18.10.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 78K / month Β· πŸ“¦ 170 Β· ⏱️ 18.10.2024): ``` pip install pyopencl ``` @@ -7717,52 +7717,52 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyopencl ```
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causalml (πŸ₯ˆ30 Β· ⭐ 5.1K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
causalml (πŸ₯ˆ30 Β· ⭐ 5.2K) - Uplift modeling and causal inference with machine learning.. Apache-2 - [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 780 Β· πŸ“¦ 240 Β· πŸ“‹ 400 - 13% open Β· ⏱️ 13.12.2024): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 36K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 35K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): ``` pip install causalml ```
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dstack (πŸ₯ˆ30 Β· ⭐ 1.6K) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0 +
anomalib (πŸ₯ˆ29 Β· ⭐ 3.9K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 160 Β· πŸ“¦ 17 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 690 Β· πŸ“₯ 16K Β· πŸ“¦ 120 Β· πŸ“‹ 950 - 15% open Β· ⏱️ 05.11.2024): ``` - git clone https://github.com/dstackai/dstack + git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 8.2K / month Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 26K / month Β· πŸ“¦ 5 Β· ⏱️ 31.10.2024): ``` - pip install dstack + pip install anomalib ```
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anomalib (πŸ₯ˆ29 Β· ⭐ 3.9K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 +
avalanche (πŸ₯ˆ29 Β· ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 680 Β· πŸ“₯ 16K Β· πŸ“¦ 120 Β· πŸ“‹ 950 - 15% open Β· ⏱️ 05.11.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 290 Β· πŸ“₯ 45 Β· πŸ“¦ 110 Β· πŸ“‹ 820 - 12% open Β· ⏱️ 29.10.2024): ``` - git clone https://github.com/openvinotoolkit/anomalib + git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 31K / month Β· πŸ“¦ 5 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): ``` - pip install anomalib + pip install avalanche-lib ```
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avalanche (πŸ₯ˆ29 Β· ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT +
dstack (πŸ₯ˆ29 Β· ⭐ 1.6K) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0 -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 290 Β· πŸ“₯ 43 Β· πŸ“¦ 110 Β· πŸ“‹ 820 - 12% open Β· ⏱️ 29.10.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 160 Β· πŸ“¦ 18 Β· πŸ“‹ 1.1K - 8% open Β· ⏱️ 26.12.2024): ``` - git clone https://github.com/ContinualAI/avalanche + git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 6.7K / month Β· ⏱️ 26.12.2024): ``` - pip install avalanche-lib + pip install dstack ```
TabPy (πŸ₯ˆ29 Β· ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT @@ -7772,7 +7772,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 8K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.4K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): ``` pip install tabpy ``` @@ -7795,7 +7795,7 @@ _Libraries for connecting to, operating, and querying databases._
Prince (πŸ₯‰28 Β· ⭐ 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 640 Β· πŸ“‹ 130 - 0% open Β· ⏱️ 17.11.2024): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 650 Β· πŸ“‹ 130 - 0% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/MaxHalford/prince @@ -7820,7 +7820,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install kmodes ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 52K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 53K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge kmodes ``` @@ -7832,37 +7832,37 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 31K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 30K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` -- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 99K Β· ⏱️ 08.11.2024): +- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 100K Β· ⏱️ 08.11.2024): ``` conda install -c conda-forge pyclustering ```
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pycm (πŸ₯‰27 Β· ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT +
adapter-transformers (πŸ₯‰27 Β· ⭐ 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 360 Β· πŸ“‹ 210 - 7% open Β· ⏱️ 15.10.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 350 Β· πŸ“¦ 140 Β· πŸ“‹ 390 - 11% open Β· ⏱️ 25.12.2024): ``` - git clone https://github.com/sepandhaghighi/pycm + git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 44K / month Β· πŸ“¦ 24 Β· ⏱️ 17.10.2024): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 3.9K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): ``` - pip install pycm + pip install adapter-transformers ```
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adapter-transformers (πŸ₯‰26 Β· ⭐ 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface +
pycm (πŸ₯‰27 Β· ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 350 Β· πŸ“¦ 140 Β· πŸ“‹ 390 - 11% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 360 Β· πŸ“‹ 210 - 7% open Β· ⏱️ 15.10.2024): ``` - git clone https://github.com/Adapter-Hub/adapter-transformers + git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 4.4K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 42K / month Β· πŸ“¦ 24 Β· ⏱️ 17.10.2024): ``` - pip install adapter-transformers + pip install pycm ```
AugLy (πŸ₯‰25 Β· ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT @@ -7872,7 +7872,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 3.3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ``` @@ -7884,7 +7884,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 240K / month Β· πŸ“¦ 170 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 210K / month Β· πŸ“¦ 170 Β· ⏱️ 03.11.2024): ``` pip install feature_engine ``` @@ -7900,7 +7900,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5.7K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5.3K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -7909,14 +7909,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge metric-learn ```
-
MONAILabel (πŸ₯‰24 Β· ⭐ 630) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
MONAILabel (πŸ₯‰24 Β· ⭐ 640) - MONAI Label is an intelligent open source image labeling and.. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 200 Β· πŸ“₯ 110K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 2.1K / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.7K / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -7928,7 +7928,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.8K / month Β· πŸ“¦ 16 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.6K / month Β· πŸ“¦ 16 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -7944,7 +7944,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 9.6K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 8.6K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): ``` pip install biopandas ``` @@ -7953,7 +7953,7 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ```
-
benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.8K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 +
benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.9K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 - [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 37 Β· πŸ“‹ 69 - 37% open Β· ⏱️ 17.07.2024): @@ -7972,33 +7972,33 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 48K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 20K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): ``` pip install suod ```
-
pymdp (πŸ₯‰20 Β· ⭐ 480) - A Python implementation of active inference for Markov Decision Processes. MIT +
pykale (πŸ₯‰20 Β· ⭐ 440) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 94 Β· πŸ“¦ 14 Β· πŸ“‹ 45 - 40% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 64 Β· πŸ“¦ 5 Β· πŸ“‹ 120 - 8% open Β· ⏱️ 24.09.2024): ``` - git clone https://github.com/infer-actively/pymdp + git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 9K / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 190 / month Β· ⏱️ 12.04.2022): ``` - pip install inferactively-pymdp + pip install pykale ```
-
pykale (πŸ₯‰19 Β· ⭐ 440) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT +
pymdp (πŸ₯‰19 Β· ⭐ 480) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 64 Β· πŸ“¦ 5 Β· πŸ“‹ 120 - 8% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 95 Β· πŸ“¦ 14 Β· πŸ“‹ 45 - 40% open Β· ⏱️ 26.11.2024): ``` - git clone https://github.com/pykale/pykale + git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 230 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 6.6K / month Β· ⏱️ 08.12.2022): ``` - pip install pykale + pip install inferactively-pymdp ```
NeuralCompression (πŸ₯‰16 Β· ⭐ 520) - A collection of tools for neural compression enthusiasts. MIT @@ -8036,8 +8036,8 @@ _Libraries for connecting to, operating, and querying databases._ - apricot (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - baikal (πŸ₯‰19 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - scikit-rebate (πŸ₯‰19 Β· ⭐ 420 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT -- KD-Lib (πŸ₯‰16 Β· ⭐ 610 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - pandas-ml (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 +- KD-Lib (πŸ₯‰15 Β· ⭐ 610 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - traingenerator (πŸ₯‰13 Β· ⭐ 1.4K Β· πŸ’€) - A web app to generate template code for machine learning. MIT - nylon (πŸ₯‰13 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
diff --git a/history/2024-12-26_changes.md b/history/2024-12-26_changes.md new file mode 100644 index 0000000..5e256c2 --- /dev/null +++ b/history/2024-12-26_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- Milvus (πŸ₯‡42 Β· ⭐ 32K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database.. Apache-2 +- PyVista (πŸ₯ˆ38 Β· ⭐ 2.8K Β· πŸ“ˆ) - 3D plotting and mesh analysis through a streamlined interface.. MIT +- Pydub (πŸ₯‡36 Β· ⭐ 9K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +- PyOD (πŸ₯ˆ36 Β· ⭐ 8.7K Β· πŸ“ˆ) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2 +- stanza (πŸ₯ˆ34 Β· ⭐ 7.3K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 +- tensorly (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ“ˆ) - TensorLy: Tensor Learning in Python. BSD-2 +- Qlib (πŸ₯ˆ31 Β· ⭐ 16K Β· πŸ“ˆ) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +- Cornac (πŸ₯ˆ28 Β· ⭐ 900 Β· πŸ“ˆ) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +- stockstats (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ“ˆ) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +- Popmon (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- Tensorflow (πŸ₯‡55 Β· ⭐ 190K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 +- pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 29K Β· πŸ“‰) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 +- litellm (πŸ₯‡43 Β· ⭐ 15K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +- nltk (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“‰) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +- pydeck (πŸ₯‡42 Β· ⭐ 12K Β· πŸ“‰) - WebGL2 powered visualization framework. MIT +- Altair (πŸ₯‡42 Β· ⭐ 9.5K Β· πŸ“‰) - Declarative visualization library for Python. BSD-3 +- yfinance (πŸ₯‡41 Β· ⭐ 15K Β· πŸ“‰) - Download market data from Yahoo! Finances API. Apache-2 +- Fastai (πŸ₯ˆ40 Β· ⭐ 26K Β· πŸ“‰) - The fastai deep learning library. Apache-2 +- PyTorch Geometric (πŸ₯‡40 Β· ⭐ 22K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +- plotnine (πŸ₯ˆ35 Β· ⭐ 4.1K Β· πŸ“‰) - A Grammar of Graphics for Python. MIT + diff --git a/history/2024-12-26_projects.csv b/history/2024-12-26_projects.csv new file mode 100644 index 0000000..448061e --- /dev/null +++ b/history/2024-12-26_projects.csv @@ -0,0 +1,921 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,trending,github_release_downloads,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,helm_id,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-12-23 01:23:30.000000,2024-12-23 01:23:30,1570.0,3.0,739.0,119.0,344.0,71.0,152.0,5027.0,Benchmarks of approximate nearest neighbor libraries in Python.,108.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-06-07 15:14:35.000000,2024-06-06 19:06:33,346.0,,173.0,58.0,205.0,,3.0,2364.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-06-06 19:06:38.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3747.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3747.0,Collection of database clients for python.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3747.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3747.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-12-26 13:05:34.000000,2024-12-26 12:20:45,173903.0,3689.0,74371.0,7547.0,41895.0,6279.0,39209.0,189622.0,An Open Source Machine Learning Framework for Everyone.,4749.0,55,True,2024-10-25 00:14:11.000,2.18.0,202.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],453870.0,445793.0,https://pypi.org/project/tensorflow,2024-10-25 00:14:11.000,8077.0,22920198.0,23740463.0,https://anaconda.org/conda-forge/tensorflow,2024-10-17 06:34:48.464,5186769.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-12-16 13:48:51.895865,2644.0,78741888.0,1.0,-2.0,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-12-26 13:58:20.000000,2024-12-26 09:14:06,82624.0,3732.0,22762.0,1749.0,95639.0,15619.0,33430.0,85283.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5335.0,55,True,2024-10-29 17:58:24.000,2.5.1,57.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],621681.0,601822.0,https://pypi.org/project/torch,2024-10-29 17:32:42.000,19859.0,32103124.0,32748708.0,https://anaconda.org/pytorch/pytorch,2024-10-28 23:02:38.194,25150314.0,,,,,1.0,,69881.0,,,,,,,,,,,,,,,,,, +8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-12-24 11:24:18.000000,2024-12-24 11:24:17,32019.0,298.0,25467.0,2145.0,18168.0,2104.0,9753.0,60558.0,scikit-learn: machine learning in Python.,3235.0,53,True,2024-12-09 18:30:05.000,1.6.0,83.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],1026461.0,1000223.0,https://pypi.org/project/scikit-learn,2024-12-09 16:01:02.000,26238.0,77539158.0,78139087.0,https://anaconda.org/conda-forge/scikit-learn,2024-12-09 17:45:36.628,32995638.0,,,,,1.0,,1036.0,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-12-26 13:58:55.000000,2024-12-26 13:58:53,17656.0,705.0,27320.0,1122.0,18536.0,1517.0,15372.0,136790.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2982.0,52,True,2024-12-17 15:42:54.000,4.47.1,166.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",268173.0,261076.0,https://pypi.org/project/transformers,2024-12-17 15:42:35.000,7097.0,47227405.0,47271837.0,https://anaconda.org/conda-forge/transformers,2024-12-18 05:19:05.387,2354937.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-12-26 01:49:59.000000,2024-12-26 01:49:58,34209.0,629.0,5222.0,350.0,11666.0,1725.0,9047.0,13217.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1722.0,50,True,2024-08-21 00:10:50.000,1.14.1,110.0,scipy,conda-forge/scipy,,,,1230857.0,1182152.0,https://pypi.org/project/scipy,2024-12-24 05:05:06.000,48705.0,117278292.0,118425097.0,https://anaconda.org/conda-forge/scipy,2024-12-08 23:50:50.522,56002074.0,,,,,1.0,,441480.0,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-12-25 11:47:17.000000,2024-12-25 11:47:17,59301.0,340.0,4458.0,294.0,13574.0,5148.0,8945.0,13153.0,A computer algebra system written in pure Python.,1344.0,49,True,2024-09-18 21:54:45.000,1.13.3,64.0,sympy,conda-forge/sympy,,,,206416.0,202916.0,https://pypi.org/project/sympy,2024-09-18 21:54:23.000,3500.0,30103154.0,30242228.0,https://anaconda.org/conda-forge/sympy,2024-10-09 14:38:28.134,7427267.0,,,,,1.0,,552629.0,,,,,,,,,,,,,,,,,, +12,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-12-25 01:22:00.000000,2024-12-25 01:22:00,11255.0,252.0,19481.0,1916.0,7675.0,253.0,12039.0,62274.0,Deep Learning for humans.,1360.0,48,True,2024-11-26 17:04:02.000,3.7.0,104.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1654.0,,https://pypi.org/project/keras,2024-11-26 17:04:02.000,1654.0,13944846.0,14016370.0,https://anaconda.org/conda-forge/keras,2024-12-10 19:57:35.430,3862317.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +13,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-12-23 20:12:08.000000,2024-12-23 20:12:08,51524.0,412.0,7684.0,594.0,18713.0,1601.0,9410.0,20494.0,matplotlib: plotting with Python.,1759.0,48,True,2024-12-14 06:30:36.000,3.10.0,131.0,matplotlib,conda-forge/matplotlib,,,,1528255.0,1475272.0,https://pypi.org/project/matplotlib,2024-12-14 06:30:36.000,52983.0,70414915.0,70923407.0,https://anaconda.org/conda-forge/matplotlib,2024-12-16 20:44:59.565,27458612.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-12-22 04:11:16.000000,2024-12-22 04:11:09,18930.0,324.0,2242.0,219.0,5216.0,136.0,3127.0,12418.0,Python Imaging Library (Fork).,482.0,48,True,2024-10-15 14:29:17.000,11.0.0,99.0,Pillow,conda-forge/pillow,,,,1986593.0,1977698.0,https://pypi.org/project/Pillow,2024-10-15 14:21:49.000,8895.0,118990312.0,119893453.0,https://anaconda.org/conda-forge/pillow,2024-10-18 22:08:55.292,47866523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-12-26 13:12:01.000000,2024-12-23 13:35:24,6919.0,243.0,3132.0,320.0,5253.0,994.0,3787.0,36370.0,Streamlit A faster way to build and share data apps.,267.0,46,True,2024-12-13 21:22:19.000,1.41.1,233.0,streamlit,,,,,642521.0,639513.0,https://pypi.org/project/streamlit,2024-12-13 21:22:11.000,3008.0,6585479.0,6585479.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +16,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-12-25 18:00:06.000000,2024-12-25 18:00:06,23397.0,685.0,5891.0,480.0,30039.0,4262.0,15455.0,34623.0,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML..,1122.0,46,True,2024-12-04 00:01:15.000,ray-2.40.0,120.0,ray,conda-forge/ray-tune,,,,20648.0,19828.0,https://pypi.org/project/ray,2024-12-03 23:45:31.000,820.0,5839080.0,5849577.0,https://anaconda.org/conda-forge/ray-tune,2024-12-20 21:34:53.315,503802.0,,,,,1.0,,248.0,,,,,,,,,,,,,,,,,, +17,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-12-25 18:21:15.000000,2024-12-25 18:21:10,24872.0,1587.0,2843.0,336.0,16899.0,1471.0,4352.0,30852.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",808.0,46,True,2024-12-17 23:03:44.000,0.4.38,172.0,jax,conda-forge/jaxlib,,,,36781.0,34711.0,https://pypi.org/project/jax,2024-12-17 23:03:44.000,2070.0,4660356.0,4697518.0,https://anaconda.org/conda-forge/jaxlib,2024-12-12 03:36:57.455,2006769.0,,,,,1.0,,,jax-ml/jax,,,,,,,,,,,,,,,,, +18,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-12-21 03:39:15.000000,2024-12-21 03:39:15,7271.0,159.0,8742.0,909.0,5770.0,457.0,4946.0,26430.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",655.0,46,True,2024-11-26 10:23:00.000,2.1.3,85.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,124943.0,122832.0,https://pypi.org/project/xgboost,2024-11-26 10:23:00.000,2111.0,25213090.0,25318457.0,https://anaconda.org/conda-forge/xgboost,2024-12-03 00:14:17.609,5579303.0,,,,,1.0,,12723.0,,,,,,,,,,,,,,,,,, +19,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-12-18 20:43:31.000000,2024-12-17 17:18:05,7386.0,524.0,2558.0,276.0,1768.0,580.0,2491.0,16496.0,The interactive graphing library for Python This project now includes Plotly Express!.,281.0,46,True,2024-09-12 15:42:27.000,5.24.1,301.0,plotly,conda-forge/plotly,,,,348886.0,342557.0,https://pypi.org/project/plotly,2024-09-12 15:36:24.000,6320.0,19344369.0,19505038.0,https://anaconda.org/conda-forge/plotly,2024-12-09 08:37:37.782,7873206.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,17520.0,,,,,,,,,,,, +20,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-12-16 14:17:50.000000,2024-12-11 13:14:08,16218.0,45.0,4417.0,562.0,4030.0,168.0,5523.0,30530.0,Industrial-strength Natural Language Processing (NLP) in Python.,762.0,45,True,2024-12-11 13:12:14.000,3.8.3,238.0,spacy,conda-forge/spacy,,,,112232.0,109394.0,https://pypi.org/project/spacy,2024-12-11 13:12:14.000,2838.0,13601021.0,13690431.0,https://anaconda.org/conda-forge/spacy,2024-11-24 12:28:01.906,4827485.0,,,,,1.0,,1118.0,,,,,,,,,,,,,,,,,, +21,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-12-26 13:32:37.000000,2024-12-26 13:32:37,52366.0,1256.0,5606.0,716.0,51763.0,1796.0,17517.0,22374.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1339.0,45,True,2024-09-13 08:31:46.000,2.6.2,71.0,paddlepaddle,,,,['paddle'],6841.0,6648.0,https://pypi.org/project/paddlepaddle,2024-11-01 08:33:35.000,193.0,336008.0,336162.0,,,,,,,,1.0,,15419.0,,,,,,,,,,,,,,,,,, +22,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-12-23 12:03:39.000000,2024-12-23 12:03:36,20653.0,44.0,4188.0,440.0,6226.0,785.0,7012.0,19491.0,"Interactive Data Visualization in the browser, from Python.",703.0,45,True,2024-12-03 15:39:22.000,3.6.2,223.0,bokeh,conda-forge/bokeh,,,,97736.0,95941.0,https://pypi.org/project/bokeh,2024-12-03 23:43:55.000,1795.0,3832052.0,4120824.0,https://anaconda.org/conda-forge/bokeh,2024-12-09 14:35:07.548,15593714.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +23,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-12-23 11:43:02.000000,2024-12-23 11:43:01,15624.0,125.0,3091.0,287.0,3969.0,2851.0,2810.0,10281.0,Statsmodels: statistical modeling and econometrics in Python.,448.0,45,True,2024-10-03 16:13:31.000,0.14.4,39.0,statsmodels,conda-forge/statsmodels,,,,151914.0,147445.0,https://pypi.org/project/statsmodels,2024-10-03 16:13:31.000,4469.0,15158193.0,15461854.0,https://anaconda.org/conda-forge/statsmodels,2024-10-03 20:40:26.151,16397717.0,,,,,1.0,,35.0,,,,,,,,,,,,,,,,,, +24,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-12-26 13:22:01.000000,2024-12-26 13:21:47,43097.0,787.0,28390.0,2022.0,49266.0,244.0,,40255.0,Apache Spark Python API.,3158.0,44,True,2024-12-20 14:34:41.000,3.5.4,50.0,pyspark,conda-forge/pyspark,,,['spark'],1654.0,,https://pypi.org/project/pyspark,2024-12-20 14:34:41.000,1654.0,31080205.0,31146958.0,https://anaconda.org/conda-forge/pyspark,2024-12-21 08:33:41.806,3604668.0,,,,,2.0,,,,,,,,,stable/spark,,,,,,,,,,, +25,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-12-26 06:04:40.000000,2024-12-26 05:56:14,7321.0,295.0,2631.0,177.0,4717.0,452.0,4708.0,34799.0,"Wrap UIs around any model, share with anyone.",477.0,44,True,2024-12-16 23:26:54.000,5.9.1,611.0,gradio,,,,,51674.0,50740.0,https://pypi.org/project/gradio,2024-12-16 23:26:54.000,934.0,6086538.0,6086538.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +26,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-12-26 11:22:44.000000,2024-12-26 11:22:43,6976.0,448.0,4291.0,305.0,9859.0,1682.0,2646.0,19089.0,Open source platform for the machine learning lifecycle.,809.0,44,True,2024-12-11 12:49:06.000,2.19.0,121.0,mlflow,conda-forge/mlflow,,,,49538.0,48606.0,https://pypi.org/project/mlflow,2024-12-11 09:49:32.000,932.0,14330038.0,14377747.0,https://anaconda.org/conda-forge/mlflow,2024-12-12 05:57:45.831,2576322.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +27,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-12-25 14:22:43.959000,2024-12-21 17:39:31,7848.0,63.0,3253.0,279.0,3956.0,344.0,3052.0,15182.0,Network Analysis in Python.,759.0,44,True,2024-10-21 12:40:41.000,networkx-3.4.2,98.0,networkx,conda-forge/networkx,,,,341173.0,331543.0,https://pypi.org/project/networkx,2024-10-21 12:39:36.000,9630.0,64823199.0,65195349.0,https://anaconda.org/conda-forge/networkx,2024-12-25 14:22:43.959,19351836.0,,,,,1.0,,76.0,,,,,,,,,,,,,,,,,, +28,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-12-26 08:17:20.000000,2024-12-23 20:49:50,8443.0,123.0,1726.0,213.0,6095.0,1098.0,4328.0,12741.0,Parallel computing with task scheduling.,614.0,44,True,2024-12-17 20:26:41.000,2024.12.1,214.0,dask,conda-forge/dask,,,,70805.0,68252.0,https://pypi.org/project/dask,2024-12-17 20:26:41.000,2553.0,12796587.0,13022417.0,https://anaconda.org/conda-forge/dask,2024-12-17 22:58:45.484,12420673.0,,,,,1.0,,,,,,,,,stable/dask,,,,,,,,,,, +29,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-12-22 08:21:07.098000,2024-12-21 00:55:01,10495.0,71.0,3407.0,252.0,10357.0,835.0,6343.0,28682.0,"Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.",991.0,43,True,2024-12-21 01:35:39.000,2.5.0.post0,282.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],41637.0,40101.0,https://pypi.org/project/pytorch-lightning,2024-12-21 01:36:45.000,1536.0,6479878.0,6505695.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-12-22 08:21:07.098,1379956.0,,,,,2.0,-1.0,10803.0,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,, +30,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-12-20 17:20:57.000000,2024-12-11 17:57:01,7769.0,81.0,2077.0,426.0,1167.0,495.0,1375.0,21720.0,Data Apps & Dashboards for Python. No JavaScript Required.,169.0,43,True,2024-11-04 21:17:37.000,2.18.2,182.0,dash,conda-forge/dash,,,,75940.0,74593.0,https://pypi.org/project/dash,2024-11-04 21:12:56.000,1347.0,4515380.0,4545180.0,https://anaconda.org/conda-forge/dash,2024-12-15 07:31:13.084,1609162.0,,,,,1.0,,87.0,,,,,,,,,,,,,,,,,, +31,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-12-25 18:23:48.000000,2024-12-25 17:49:34,2936.0,103.0,3690.0,437.0,3487.0,349.0,2566.0,18151.0,Open standard for machine learning interoperability.,328.0,43,True,2024-10-01 21:45:45.000,1.17.0,35.0,onnx,conda-forge/onnx,,,,38857.0,37804.0,https://pypi.org/project/onnx,2024-10-01 21:45:45.000,1053.0,5988091.0,6014118.0,https://anaconda.org/conda-forge/onnx,2024-10-21 21:30:32.889,1391317.0,,,,,1.0,,22569.0,,,,,,,,,,,,,,,,,, +32,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-12-26 05:18:39.000000,2024-12-22 15:35:51,3620.0,50.0,3834.0,435.0,3316.0,375.0,3091.0,16820.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",323.0,43,True,2024-07-26 14:38:57.000,4.5.0,38.0,lightgbm,conda-forge/lightgbm,,,,42973.0,41896.0,https://pypi.org/project/lightgbm,2024-07-26 14:38:57.000,1077.0,9866367.0,9926920.0,https://anaconda.org/conda-forge/lightgbm,2024-10-10 08:17:38.424,2953722.0,,,,,2.0,,242605.0,,,,,,,,,,,,,,,,,, +33,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-12-26 05:23:50.000000,2024-12-26 05:23:42,18770.0,911.0,1806.0,85.0,3392.0,981.0,3069.0,15421.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",369.0,43,True,2024-12-25 05:09:32.000,1.55.12,1032.0,litellm,,,,others,6110.0,5462.0,https://pypi.org/project/litellm,2024-12-25 04:53:38.000,648.0,3114775.0,3115013.0,,,,,,,,1.0,-1.0,476.0,,,,,,,,,,,,,,,,,, +34,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2024-12-26 03:16:57.000000,2024-12-25 17:27:20,3131.0,404.0,1651.0,196.0,3771.0,682.0,884.0,13802.0,Development repository for the Triton language and compiler.,352.0,43,True,2024-10-14 16:05:32.000,3.1.0,196.0,triton,,,,,47629.0,47364.0,https://pypi.org/project/triton,2024-10-14 16:05:32.000,265.0,14753788.0,14753788.0,,,,,,,,1.0,,,triton-lang/triton,,,,,,,,,,,,,,,,, +35,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2024-12-26 11:59:49.000000,2024-12-26 11:59:48,18747.0,477.0,1042.0,117.0,3805.0,62.0,1632.0,11142.0,A hyperparameter optimization framework.,283.0,43,True,2024-11-12 05:51:56.000,4.1.0,67.0,optuna,conda-forge/optuna,,,,21373.0,20338.0,https://pypi.org/project/optuna,2024-11-12 05:51:56.000,1035.0,3593513.0,3631349.0,https://anaconda.org/conda-forge/optuna,2024-12-23 04:20:25.969,2043145.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +36,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-12-18 21:39:43.000000,2024-12-18 21:39:43,5882.0,18.0,1658.0,189.0,5059.0,687.0,1241.0,6750.0,TensorFlows Visualization Toolkit.,322.0,43,True,2024-09-25 21:21:50.000,2.18.0,63.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],284231.0,282005.0,https://pypi.org/project/tensorboard,2024-09-25 21:21:50.000,2226.0,26161484.0,26258686.0,https://anaconda.org/conda-forge/tensorboard,2024-12-10 08:54:23.547,5248939.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +37,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-12-24 01:40:52.000000,2024-12-19 00:51:53,2603.0,139.0,4773.0,315.0,557.0,48.0,895.0,32720.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",162.0,42,True,2024-12-03 19:05:39.000,1.0.12,63.0,timm,conda-forge/timm,,,['pytorch'],44595.0,43588.0,https://pypi.org/project/timm,2024-12-03 18:46:09.000,1007.0,5512035.0,5627281.0,https://anaconda.org/conda-forge/timm,2024-12-17 14:22:47.539,288124.0,,,,,1.0,,7357286.0,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,, +38,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-12-26 13:49:07.000000,2024-12-26 10:58:56,21531.0,707.0,2980.0,284.0,23767.0,795.0,11691.0,31567.0,"Milvus is a high-performance, cloud-native vector database designed to scale seamlessly. Its the ideal solution for..",298.0,42,True,2024-12-26 11:49:33.000,2.5.2,110.0,pymilvus,,milvusdb/milvus,,,200.0,,https://pypi.org/project/pymilvus,2024-12-26 11:49:33.000,200.0,1349085.0,2420927.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-12-26 12:28:49.422117,66.0,67228455.0,1.0,1.0,292928.0,,,,,,,,,,,,,,,,,, +39,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-12-16 00:47:34.151000,2024-11-11 06:24:40,14683.0,2.0,2887.0,460.0,1499.0,276.0,1569.0,13723.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,462.0,42,True,2024-08-18 19:48:21.000,3.9.1,63.0,nltk,conda-forge/nltk,,,,338035.0,333338.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,4697.0,23839379.0,23904769.0,https://anaconda.org/conda-forge/nltk,2024-12-16 00:47:34.151,2942552.0,,,,,1.0,-2.0,,,,,,,,,,,,,,,,,,, +40,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-12-24 00:18:18.000000,2024-12-23 17:00:14,5040.0,40.0,2089.0,1667.0,4916.0,371.0,2744.0,12359.0,WebGL2 powered visualization framework.,277.0,42,True,2024-12-11 10:43:06.025,9.0.38,679.0,pydeck,conda-forge/pydeck,,,['jupyter'],8869.0,8442.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,120.0,5648455.0,6148389.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,665638.0,,,,,1.0,-1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-12-11 10:43:06.025,307.0,488458.0,,,,,,,,,,,, +41,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-12-25 10:36:01.000000,2024-12-20 22:04:03,3833.0,53.0,795.0,139.0,1535.0,195.0,1852.0,9473.0,Declarative visualization library for Python.,173.0,42,True,2024-11-24 00:12:10.000,5.5.0,43.0,altair,conda-forge/altair,,,,187324.0,186408.0,https://pypi.org/project/altair,2024-11-23 23:39:56.000,916.0,23812910.0,23883582.0,https://anaconda.org/conda-forge/altair,2024-12-15 06:41:29.283,2544140.0,,,,,1.0,-1.0,218.0,vega/altair,,,,,,,,,,,,,,,,, +42,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-12-26 01:13:24.000000,2024-12-25 00:13:15,7495.0,435.0,680.0,63.0,5700.0,602.0,2833.0,9315.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",203.0,42,True,2024-12-13 01:07:06.000,0.19.1,297.0,wandb,conda-forge/wandb,,,,63289.0,61726.0,https://pypi.org/project/wandb,2024-12-13 01:03:09.000,1563.0,17780055.0,17795320.0,https://anaconda.org/conda-forge/wandb,2024-12-14 01:53:47.787,808584.0,,,,,1.0,,420.0,wandb/wandb,,,,,,,,,,,,,,,,, +43,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-12-26 08:22:03.000000,2024-12-26 08:21:58,48946.0,324.0,1189.0,191.0,402.0,575.0,1794.0,8160.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1299.0,42,True,2024-12-07 11:22:32.000,node-package-v1.26.0,113.0,catboost,conda-forge/catboost,,,,551.0,16.0,https://pypi.org/project/catboost,2024-09-07 16:51:57.000,535.0,3288213.0,3329116.0,https://anaconda.org/conda-forge/catboost,2024-09-07 21:05:39.027,1814865.0,,,,,2.0,,336309.0,,,,,,,,,,,,,,,,,, +44,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-12-23 15:21:02.928000,2024-12-18 16:51:22,14231.0,114.0,2240.0,186.0,4550.0,808.0,2129.0,6126.0,Image processing in Python.,677.0,42,False,2024-12-13 21:31:26.000,0.25.0,71.0,scikit-image,conda-forge/scikit-image,,,,215113.0,208425.0,https://pypi.org/project/scikit-image,2024-12-13 21:31:26.000,6688.0,12606784.0,12742292.0,https://anaconda.org/conda-forge/scikit-image,2024-12-23 15:21:02.928,7317450.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +45,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-12-24 09:46:21.000000,2024-12-24 09:44:31,6381.0,94.0,7849.0,445.0,3194.0,169.0,9301.0,45273.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",266.0,41,True,2024-10-22 05:57:58.000,2.9.1,48.0,paddleocr,,,,['paddle'],4072.0,3964.0,https://pypi.org/project/paddleocr,2024-10-22 05:57:58.000,108.0,376554.0,395011.0,,,,,,,,1.0,,941310.0,,,,,,,,,,,,,,,,,, +46,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-12-20 05:13:47.000000,2024-12-20 05:13:46,2625.0,133.0,4169.0,347.0,3112.0,1110.0,1916.0,36003.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",364.0,41,True,2024-12-18 17:52:34.000,0.16.2,101.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],10463.0,10227.0,https://pypi.org/project/deepspeed,2024-12-18 17:52:34.000,236.0,576642.0,577003.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,21314.0,1.0,,,,,,,,,,,,,,,,,,,, +47,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-12-26 11:49:33.000000,2024-12-23 19:27:51,1352.0,99.0,3649.0,479.0,1314.0,254.0,2321.0,32097.0,A library for efficient similarity search and clustering of dense vectors.,199.0,41,True,2024-12-26 11:49:33.000,2.5.2,110.0,pymilvus,conda-forge/faiss,,,,4468.0,4268.0,https://pypi.org/project/pymilvus,2024-12-26 11:49:33.000,200.0,1349085.0,1386007.0,https://anaconda.org/conda-forge/faiss,2024-12-20 08:17:21.787,1993796.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +48,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-12-13 21:16:38.000000,2024-12-13 21:16:38,2780.0,14.0,3289.0,245.0,991.0,704.0,1850.0,23140.0,A game theoretic approach to explain the output of any machine learning model.,254.0,41,True,2024-06-27 10:16:34.000,0.46.0,104.0,shap,conda-forge/shap,,,,24129.0,23381.0,https://pypi.org/project/shap,2024-06-27 10:16:34.000,748.0,6813554.0,6909757.0,https://anaconda.org/conda-forge/shap,2024-12-10 12:59:40.676,4617747.0,,,,,1.0,,,shap/shap,,,,,,,,,,,,,,,,, +49,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-12-26 11:34:43.000000,2024-12-20 18:43:16,3979.0,40.0,6966.0,444.0,5468.0,1048.0,2488.0,16406.0,"Datasets, Transforms and Models specific to Computer Vision.",616.0,41,True,2024-10-29 17:40:34.000,0.20.1,49.0,torchvision,conda-forge/torchvision,,,['pytorch'],5875.0,21.0,https://pypi.org/project/torchvision,2024-10-29 17:40:34.000,5854.0,15104323.0,15149004.0,https://anaconda.org/conda-forge/torchvision,2024-12-26 01:04:39.537,1991348.0,,,,,1.0,,39559.0,,,,,,,,,,,,,,,,,, +50,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-12-23 14:29:58.000000,2024-12-23 14:29:58,1618.0,68.0,2496.0,142.0,615.0,1193.0,1073.0,15652.0,State-of-the-Art Text Embeddings.,200.0,41,True,2024-11-18 14:38:20.000,3.3.1,59.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],63580.0,61743.0,https://pypi.org/project/sentence-transformers,2024-11-18 14:37:38.000,1837.0,7778850.0,7788681.0,https://anaconda.org/conda-forge/sentence-transformers,2024-12-21 19:23:58.994,501429.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +51,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-12-22 13:12:11.000000,2024-12-19 22:46:16,1386.0,79.0,2477.0,242.0,649.0,196.0,1221.0,15181.0,Download market data from Yahoo! Finances API.,129.0,41,True,2024-12-19 22:51:55.000,0.2.51,123.0,yfinance,ranaroussi/yfinance,,,,55896.0,55153.0,https://pypi.org/project/yfinance,2024-12-19 22:51:55.000,743.0,2944929.0,2947306.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,97460.0,,,,,1.0,-1.0,,,,,,,,,,,,,,,,,,, +52,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-12-24 21:59:32.000000,2024-12-24 21:40:23,1142.0,140.0,1653.0,128.0,1052.0,160.0,960.0,14430.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,158.0,41,True,2024-12-24 21:59:11.000,1.4.24,79.0,albumentations,conda-forge/albumentations,,,['pytorch'],31123.0,30498.0,https://pypi.org/project/albumentations,2024-12-24 21:59:32.000,625.0,5129445.0,5133545.0,https://anaconda.org/conda-forge/albumentations,2024-09-22 17:25:30.224,217310.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +53,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-12-26 09:00:02.000000,2024-12-26 09:00:00,9372.0,35.0,1191.0,134.0,5553.0,244.0,4490.0,14037.0,Data Versioning and ML Experiments.,308.0,41,True,2024-12-01 16:53:49.000,3.58.0,541.0,dvc,conda-forge/dvc,,,,20044.0,19910.0,https://pypi.org/project/dvc,2024-12-01 16:53:49.000,134.0,494914.0,540530.0,https://anaconda.org/conda-forge/dvc,2024-12-20 18:40:34.170,2463314.0,,,,,1.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,, +54,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-12-22 10:46:24.000000,2024-12-20 08:01:04,6506.0,358.0,2106.0,204.0,1250.0,113.0,2234.0,13997.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,274.0,41,True,2024-12-20 08:57:44.000,0.15.0,34.0,flair,conda-forge/python-flair,,,['pytorch'],3844.0,3696.0,https://pypi.org/project/flair,2024-12-20 08:37:28.000,148.0,95484.0,96155.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,35566.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-12-05 16:37:31.000000,2024-12-05 16:35:57,1267.0,79.0,1583.0,254.0,709.0,498.0,1072.0,12786.0,Video editing with Python.,168.0,41,True,2024-11-25 04:33:19.000,2.1.1,88.0,moviepy,conda-forge/moviepy,,,,52064.0,51059.0,https://pypi.org/project/moviepy,2024-11-25 04:33:19.000,1005.0,2370356.0,2373502.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,280033.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +56,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-12-16 12:54:03.000000,2024-12-16 12:54:02,3238.0,1.0,1929.0,263.0,1129.0,185.0,2432.0,12698.0,Statistical data visualization in Python.,213.0,41,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,541846.0,531003.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,19461217.0,19667905.0,https://anaconda.org/conda-forge/seaborn,2024-12-09 07:42:09.249,11161019.0,,,,,1.0,,464.0,,,,,,,,,,,,,,,,,, +57,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-12-26 08:26:41.000000,2024-12-26 08:26:41,10152.0,103.0,2025.0,225.0,4125.0,325.0,3081.0,8800.0,Bayesian Modeling and Probabilistic Programming in Python.,507.0,41,True,2024-12-05 17:01:07.000,5.19.1,95.0,pymc3,conda-forge/pymc3,,,,5264.0,5072.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,275147.0,286739.0,https://anaconda.org/conda-forge/pymc3,2024-12-21 13:26:06.624,625131.0,,,,,1.0,,1962.0,,,,,,,,,,,,,,,,,, +58,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-12-23 21:43:13.000000,2024-12-23 21:43:13,4011.0,168.0,1136.0,136.0,3258.0,343.0,1208.0,2113.0,A library for training and deploying machine learning models on Amazon SageMaker.,464.0,41,True,2024-12-17 19:30:11.000,2.237.2,615.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",5148.0,4991.0,https://pypi.org/project/sagemaker,2024-12-05 03:00:39.000,157.0,24542802.0,24566959.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-12-17 18:43:08.208,1256165.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-10-11 20:07:05.000000,2023-01-30 18:15:21,1757.0,,8614.0,1059.0,1458.0,121.0,1725.0,35021.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,61831.0,60283.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,968472.0,974594.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,342834.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +60,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-12-14 04:24:44.000000,2024-12-14 04:24:41,2802.0,11.0,7565.0,603.0,2238.0,226.0,1594.0,26422.0,The fastai deep learning library.,670.0,40,True,2024-10-19 03:20:25.000,2.7.18,152.0,fastai,,,,['pytorch'],20371.0,20063.0,https://pypi.org/project/fastai,2024-10-19 03:20:25.000,308.0,430502.0,430502.0,,,,,,,,2.0,-1.0,,,,,,,,,,,,,,,,,,, +61,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-12-26 12:01:15.000000,2024-12-26 12:01:15,36247.0,324.0,13420.0,939.0,25845.0,1257.0,,24307.0,Apache Flink Python API.,1954.0,40,True,2024-06-14 14:43:26.000,1.19.1,49.0,apache-flink,,,,,56.0,21.0,https://pypi.org/project/apache-flink,2024-08-01 04:14:17.000,35.0,37707778.0,37707778.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +62,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-12-21 01:16:03.000000,2024-12-17 17:02:38,7665.0,41.0,3716.0,254.0,3229.0,1101.0,2681.0,21662.0,Graph Neural Network Library for PyTorch.,531.0,40,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],7709.0,7354.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,355.0,472556.0,475028.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-12-19 10:54:16.536,131061.0,,,,,1.0,-1.0,,,,,,,,,,,,,,,,,,, +63,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-11-27 19:20:00.476000,2024-11-27 15:01:48,1846.0,33.0,807.0,122.0,673.0,58.0,961.0,9181.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,101.0,40,True,2024-11-27 13:11:07.000,0.21.0,108.0,tokenizers,conda-forge/tokenizers,,,,125874.0,124778.0,https://pypi.org/project/tokenizers,2024-11-27 13:11:07.000,1096.0,34096045.0,34140886.0,https://anaconda.org/conda-forge/tokenizers,2024-11-27 19:20:00.476,2376540.0,,,,,1.0,,69.0,,,,,,,,,,,,,,,,,, +64,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-12-24 15:48:00.000000,2024-12-24 15:48:00,1638.0,69.0,989.0,98.0,1628.0,123.0,1574.0,8100.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",308.0,40,True,2024-12-13 18:56:09.000,1.2.1,66.0,accelerate,conda-forge/accelerate,,,['pytorch'],65715.0,64014.0,https://pypi.org/project/accelerate,2024-12-13 18:54:30.000,1701.0,7878479.0,7885496.0,https://anaconda.org/conda-forge/accelerate,2024-12-16 20:09:03.263,266661.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +65,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-12-16 09:59:29.229000,2024-12-14 16:13:03,1925.0,45.0,2226.0,163.0,905.0,86.0,1053.0,6973.0,Python Data. Leaflet.js Maps.,172.0,40,True,2024-12-13 17:29:32.000,0.19.2,36.0,folium,conda-forge/folium,,,,49342.0,48540.0,https://pypi.org/project/folium,2024-12-13 17:29:32.000,802.0,1603862.0,1674736.0,https://anaconda.org/conda-forge/folium,2024-12-16 09:59:29.229,3331120.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-12-03 08:34:38.000000,2024-12-03 08:34:38,2327.0,11.0,571.0,89.0,890.0,294.0,959.0,3959.0,Manipulation and analysis of geometric objects.,163.0,40,True,2024-08-19 21:56:13.000,2.0.6,125.0,shapely,conda-forge/shapely,,,,92077.0,89142.0,https://pypi.org/project/shapely,2024-08-19 21:56:13.000,2935.0,31680974.0,31891329.0,https://anaconda.org/conda-forge/shapely,2024-09-25 14:46:10.973,10933406.0,,,,,1.0,,3727.0,,,,,,,,,,,,,,,,,, +67,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-12-26 08:11:03.000000,2024-12-20 19:43:14,5955.0,62.0,719.0,57.0,5214.0,1580.0,2390.0,1585.0,A distributed task scheduler for Dask.,329.0,40,True,2024-12-17 20:26:42.000,2024.12.1,246.0,distributed,conda-forge/distributed,,,,38699.0,37810.0,https://pypi.org/project/distributed,2024-12-17 20:26:42.000,889.0,5376698.0,5666011.0,https://anaconda.org/conda-forge/distributed,2024-12-17 22:07:27.324,15912262.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +68,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-12-18 15:02:53.000000,2024-12-05 00:45:19,4535.0,1.0,4379.0,430.0,1714.0,384.0,1465.0,15756.0,Topic Modelling for Humans.,458.0,39,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,,69994.0,68617.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,4780143.0,4812670.0,https://anaconda.org/conda-forge/gensim,2024-09-03 16:06:08.530,1461564.0,,,,,1.0,,5238.0,piskvorky/gensim,,,,,,,,,,,,,,,,, +69,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-12-26 13:45:24.000000,2024-12-26 13:45:20,1715.0,81.0,2259.0,153.0,257.0,4.0,1144.0,15213.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",75.0,39,True,2024-08-17 07:30:49.000,0.0.93,92.0,deepface,,,,,4980.0,4936.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,44.0,320157.0,320157.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +70,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-12-20 16:53:53.000000,2024-12-20 16:53:53,8289.0,9.0,3366.0,480.0,727.0,53.0,2185.0,13655.0,A toolkit for making real world machine learning and data analysis applications in C++.,197.0,39,False,2024-08-09 19:26:11.000,19.24.6,39.0,dlib,conda-forge/dlib,,,,33013.0,32800.0,https://pypi.org/project/dlib,2024-08-09 19:21:06.000,213.0,159800.0,177999.0,https://anaconda.org/conda-forge/dlib,2024-09-11 22:57:26.780,970682.0,,,,,2.0,,25549.0,,,,,,,,,,,,,,,,,, +71,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-12-25 02:55:15.000000,2024-12-24 07:48:32,29404.0,260.0,856.0,127.0,6478.0,617.0,1804.0,9633.0,NumPy & SciPy for GPU.,398.0,39,True,2024-08-22 07:42:45.000,13.3.0,141.0,cupy,conda-forge/cupy,cupy/cupy,,,2687.0,2418.0,https://pypi.org/project/cupy,2024-08-22 07:08:16.000,269.0,38296.0,137585.0,https://anaconda.org/conda-forge/cupy,2024-10-18 20:21:57.477,5268397.0,https://hub.docker.com/r/cupy/cupy,2024-08-22 07:44:42.171252,13.0,72775.0,1.0,,192525.0,,,,,,,,,,,,,,,,,, +72,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-12-20 13:04:03.000000,2024-12-20 13:04:03,10284.0,117.0,1404.0,134.0,1307.0,146.0,1012.0,9107.0,A PyTorch-based Speech Toolkit.,247.0,39,True,2024-10-31 10:06:07.000,1.0.2,18.0,speechbrain,,,,['pytorch'],2702.0,2635.0,https://pypi.org/project/speechbrain,2024-10-30 18:31:32.000,67.0,2424826.0,2424826.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-12-25 23:11:51.000000,2024-12-22 15:30:55,5103.0,174.0,1391.0,108.0,4489.0,1000.0,1627.0,8040.0,A unified framework for machine learning with time series.,430.0,39,True,2024-12-09 16:14:44.000,0.35.0,85.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],3835.0,3705.0,https://pypi.org/project/sktime,2024-12-09 16:14:44.000,130.0,918105.0,943652.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-12-14 09:46:59.648,1047411.0,,,,,1.0,,110.0,sktime/sktime,,,,,,,,,,,,,,,,, +74,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-12-16 10:51:59.253000,2024-12-13 15:43:12,2051.0,29.0,928.0,107.0,1719.0,449.0,1274.0,4576.0,Python tools for geographic data.,236.0,39,True,2024-07-02 12:26:55.000,1.0.1,57.0,geopandas,conda-forge/geopandas,,,['pandas'],48776.0,45937.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2839.0,6597359.0,6675833.0,https://anaconda.org/conda-forge/geopandas,2024-12-16 10:51:59.253,4236097.0,,,,,2.0,,2865.0,,,,,,,,,,,,,,,,,, +75,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-12-23 23:51:08.000000,2024-12-23 23:51:07,18235.0,101.0,1331.0,84.0,8122.0,552.0,4407.0,2788.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,382.0,39,True,2024-12-18 21:23:23.000,1.9.0,81.0,mne,conda-forge/mne,,,,5270.0,4851.0,https://pypi.org/project/mne,2024-12-18 21:23:23.000,419.0,140519.0,148847.0,https://anaconda.org/conda-forge/mne,2024-12-19 01:36:08.275,458052.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +76,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-12-26 13:13:24.000000,2024-12-26 13:13:24,10657.0,288.0,595.0,66.0,2806.0,298.0,1929.0,1218.0,Machine learning for NeuroImaging in Python.,253.0,39,True,2024-12-23 09:33:25.000,0.11.1,49.0,nilearn,conda-forge/nilearn,,,['sklearn'],3983.0,3674.0,https://pypi.org/project/nilearn,2024-12-23 09:28:14.000,309.0,72189.0,78474.0,https://anaconda.org/conda-forge/nilearn,2024-12-23 13:35:55.827,307712.0,,,,,1.0,,277.0,,,,,,,,,,,,,,,,,, +77,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6788.0,1070.0,11124.0,1805.0,7758.0,20796.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7773.0,7647.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,566964.0,567369.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,11371.0,,,,,2.0,,27810.0,apache/mxnet,,,,,,,,,,6.0,,,,,,, +78,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-11-06 07:08:07.000000,2024-11-03 18:25:41,1700.0,11.0,2852.0,380.0,475.0,3.0,1920.0,15007.0,Python Echarts Plotting Library.,45.0,38,True,2024-11-06 02:54:47.000,2.0.7,75.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4955.0,4740.0,https://pypi.org/project/pyecharts,2024-11-03 18:29:35.000,215.0,188010.0,188013.0,,,,,,,,2.0,,72.0,,,,,,,,,,,,,,,,,, +79,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-12-01 15:47:18.000000,2024-08-18 00:47:35,986.0,,1176.0,126.0,316.0,41.0,718.0,10405.0,Unsupervised text tokenizer for Neural Network-based text generation.,89.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,90007.0,88275.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,24705700.0,24728409.0,https://anaconda.org/conda-forge/sentencepiece,2024-11-25 20:20:10.872,1170543.0,,,,,1.0,,47453.0,,,,,,,,,,,,,,,,,, +80,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-12-25 18:31:20.000000,2024-12-25 18:31:19,2845.0,44.0,971.0,129.0,1983.0,288.0,666.0,10097.0,Geometric Computer Vision Library for Spatial AI.,277.0,38,True,2024-11-05 09:32:20.000,0.7.4,41.0,kornia,conda-forge/kornia,,,['pytorch'],13512.0,13225.0,https://pypi.org/project/kornia,2024-11-05 09:32:20.000,287.0,1694912.0,1698341.0,https://anaconda.org/conda-forge/kornia,2024-12-20 18:13:26.403,163613.0,,,,,2.0,,1593.0,,,,,,,,,,,,,,,,,, +81,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-12-23 16:03:02.000000,2024-12-23 15:38:04,22405.0,234.0,2190.0,177.0,3413.0,368.0,2092.0,8623.0,End-to-End Speech Processing Toolkit.,471.0,38,True,2024-12-04 04:40:05.000,.202412,54.0,espnet,,,,,408.0,396.0,https://pypi.org/project/espnet,2024-12-04 04:40:26.000,12.0,22150.0,22151.0,,,,,,,,1.0,,83.0,,,,,,,,,,,,,,,,,, +82,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-12-23 23:00:40.000000,2024-12-17 19:56:10,4921.0,219.0,647.0,87.0,2734.0,306.0,748.0,6212.0,Flax is a neural network library for JAX that is designed for flexibility.,251.0,38,True,2024-11-19 19:58:50.000,0.10.2,50.0,flax,conda-forge/flax,,,['jax'],11434.0,10940.0,https://pypi.org/project/flax,2024-11-19 19:58:50.000,494.0,986518.0,988348.0,https://anaconda.org/conda-forge/flax,2024-11-20 00:54:51.479,82314.0,,,,,2.0,,58.0,,,,,,,,,,,,,,,,,, +83,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-12-26 00:45:20.000000,2024-12-24 00:45:51,6633.0,135.0,1556.0,108.0,4592.0,740.0,757.0,4332.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",386.0,38,True,2024-12-26 00:45:20.000,4.9.7.de202412260044,65.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],21284.0,20955.0,https://pypi.org/project/tensorflow-datasets,2024-10-30 12:58:48.000,329.0,1844754.0,1845708.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,41028.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +84,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-12-26 00:10:10.000000,2024-12-22 20:11:36,4932.0,193.0,514.0,38.0,3927.0,661.0,1152.0,2805.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,170.0,38,True,2024-11-27 01:15:51.000,0.44.2,99.0,pyvista,conda-forge/pyvista,,,['jupyter'],4438.0,3860.0,https://pypi.org/project/pyvista,2024-11-27 00:06:11.000,578.0,401850.0,412964.0,https://anaconda.org/conda-forge/pyvista,2024-12-15 21:46:00.136,599696.0,,,,,2.0,1.0,847.0,,,,,,,,,,,,,,,,,, +85,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-12-24 03:05:15.000000,2024-12-23 10:32:33,1640.0,72.0,567.0,59.0,1594.0,152.0,862.0,2186.0,The official Python client for the Huggingface Hub.,210.0,38,True,2024-12-16 13:13:32.000,0.27.0,138.0,huggingface_hub,conda-forge/huggingface_hub,,,,2207.0,,https://pypi.org/project/huggingface_hub,2024-12-16 13:13:32.000,2207.0,51177599.0,51231755.0,https://anaconda.org/conda-forge/huggingface_hub,2024-12-10 17:41:30.388,2491183.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +86,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-11-28 17:38:39.834000,2024-11-28 08:11:48,1549.0,8.0,299.0,31.0,502.0,99.0,512.0,1527.0,Python library for reading and writing image data.,119.0,38,True,2024-11-28 08:11:59.000,2.36.1,96.0,imageio,conda-forge/imageio,,,,155026.0,152494.0,https://pypi.org/project/imageio,2024-11-28 08:11:55.000,2532.0,26267469.0,26405402.0,https://anaconda.org/conda-forge/imageio,2024-11-28 17:38:39.834,7309483.0,,,,,2.0,,1439.0,,,,,,,,,,,,,,,,,, +87,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-12-25 21:54:08.000000,2024-12-25 21:54:03,8720.0,229.0,2816.0,307.0,239.0,21.0,1148.0,28846.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,37,True,2024-12-20 18:59:25.000,8.0.7,683.0,netron,,,,"['pytorch', 'tensorflow']",703.0,620.0,https://pypi.org/project/netron,2024-12-20 18:59:25.000,83.0,30112.0,197580.0,,,,,,,,1.0,,167468.0,,,,,,,,,,,,,,,,,, +88,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-12-05 07:41:28.000000,2024-12-05 07:41:28,2348.0,14.0,5431.0,513.0,183.0,1154.0,1386.0,23844.0,State-of-the-art 2D and 3D Face Analysis Project.,63.0,37,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],3164.0,3134.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,243037.0,538840.0,,,,,,,,2.0,,5916076.0,,,,,,,,,,,,,,,,,, +89,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-12-20 13:30:44.000000,2024-11-25 16:28:03,32612.0,2.0,4651.0,357.0,6387.0,129.0,6642.0,19107.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",599.0,37,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4731.0,4671.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,60.0,213397.0,213397.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +90,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-10-18 03:43:55.000000,2024-10-18 03:43:55,4410.0,6.0,3018.0,177.0,5055.0,539.0,2358.0,13616.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",295.0,37,True,2024-09-03 04:16:25.000,2.4.0,453.0,dgl,,,,,474.0,326.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,516508.0,516508.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +91,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-11-29 12:10:45.000000,2024-11-29 11:05:20,4820.0,3.0,5277.0,382.0,727.0,670.0,1377.0,13252.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,37,False,2024-11-22 15:43:48.000,2.8.0,59.0,glfw,conda-forge/glfw,,,,1738.0,1539.0,https://pypi.org/project/glfw,2024-11-22 15:43:48.000,199.0,480372.0,521927.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,303547.0,,,,,2.0,,4089995.0,,,,,,,,,,,,,,,,,, +92,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-12-25 09:50:57.000000,2024-12-19 17:17:22,1513.0,29.0,1690.0,152.0,832.0,236.0,579.0,12614.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,134.0,37,True,2024-12-08 20:12:09.000,4.12.1,66.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",5122.0,4939.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,426983.0,431791.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,480642.0,,,,,2.0,,223.0,ydataai/ydata-profiling,,,,,,,,,,,,,,,,, +93,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-12-26 11:38:27.000000,2024-12-25 21:17:36,7732.0,546.0,2573.0,210.0,8645.0,141.0,2299.0,12524.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",372.0,37,True,2024-11-14 18:57:24.000,2.0.0,78.0,nemo-toolkit,,,,['pytorch'],34.0,21.0,https://pypi.org/project/nemo-toolkit,2024-12-21 18:54:09.000,13.0,112816.0,117331.0,,,,,,,,1.0,,284497.0,,,,,,,,,,,,,,,,,, +94,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-12-26 13:19:15.000000,2024-12-19 16:29:34,6281.0,24.0,3703.0,250.0,1791.0,1079.0,4587.0,11769.0,Open-source simulator for autonomous driving research.,196.0,37,True,2024-12-19 14:10:57.000,0.10.0,27.0,carla,,,,,895.0,884.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,14112.0,14112.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +95,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2488.0,539.0,4121.0,697.0,2087.0,9909.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,15921.0,15749.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,79122.0,103623.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2474636.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +96,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-12-26 00:00:46.000000,2024-12-25 21:14:58,22289.0,972.0,580.0,63.0,3752.0,519.0,1078.0,9012.0,"Visualize, create, and debug image and video datasets and model predictions.",144.0,37,True,2024-12-20 23:48:02.000,1.2.0,152.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",797.0,772.0,https://pypi.org/project/fiftyone,2024-12-20 22:56:42.000,25.0,105145.0,105145.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +97,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-12-23 17:51:44.000000,2024-12-23 17:51:41,1456.0,16.0,910.0,212.0,256.0,179.0,246.0,7061.0,Efficiently computes derivatives of NumPy code.,60.0,37,True,2024-08-22 19:07:12.000,1.7.0,30.0,autograd,conda-forge/autograd,,,,11072.0,10789.0,https://pypi.org/project/autograd,2024-08-22 19:07:12.000,283.0,3882801.0,3899457.0,https://anaconda.org/conda-forge/autograd,2024-12-13 21:24:24.362,499684.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +98,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-12-09 17:49:22.000000,2024-12-09 17:49:19,12199.0,28.0,1108.0,157.0,468.0,701.0,756.0,4280.0,Probabilistic reasoning and statistical analysis in TensorFlow.,496.0,37,True,2024-11-08 16:30:13.000,0.25.0,53.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],620.0,2.0,https://pypi.org/project/tensorflow-probability,2024-11-08 16:25:57.000,618.0,1351642.0,1355079.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-05-27 12:58:13.692,158128.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +99,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-12-20 19:28:20.000000,2024-12-20 19:28:20,10894.0,52.0,403.0,58.0,3126.0,1108.0,2247.0,2725.0,"With Holoviews, your data visualizes itself.",146.0,37,True,2024-11-04 15:56:57.000,1.20.0,174.0,holoviews,conda-forge/holoviews,,,['jupyter'],13830.0,13423.0,https://pypi.org/project/holoviews,2024-11-11 07:16:12.000,402.0,403221.0,438703.0,https://anaconda.org/conda-forge/holoviews,2024-12-13 07:23:10.744,1907678.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-08-01 13:45:47.955,5.0,155.0,,,,,,,,,,,, +100,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-12-26 09:51:46.000000,2024-12-26 09:51:45,4906.0,349.0,608.0,46.0,5365.0,346.0,1128.0,2423.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",191.0,37,True,2024-11-05 19:53:48.000,0.39.0,60.0,pennylane,conda-forge/pennylane,,,,1321.0,1204.0,https://pypi.org/project/pennylane,2024-11-05 19:53:48.000,117.0,65713.0,70525.0,https://anaconda.org/conda-forge/pennylane,2024-07-09 13:59:12.283,178040.0,,,,,1.0,,100.0,,,,,,,,,,,,,,,,,, +101,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-12-15 02:03:30.000000,2024-12-15 02:03:25,3921.0,30.0,535.0,145.0,1243.0,146.0,1710.0,2287.0,Rasterio reads and writes geospatial raster datasets.,161.0,37,True,2024-12-02 16:44:51.000,1.4.3,166.0,rasterio,conda-forge/rasterio,,,,15912.0,14376.0,https://pypi.org/project/rasterio,2024-12-02 14:48:24.000,1536.0,2426206.0,2426214.0,https://anaconda.org/conda-forge/rasterio,,,,,,,2.0,,992.0,,,,,,,,,,,,,,,,,, +102,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-08-21 09:23:45.000000,2020-02-15 08:33:35,523.0,,6713.0,1281.0,167.0,674.0,227.0,33524.0,Chinese Words Segmentation Utilities.,49.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,34236.0,33398.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1435969.0,1437789.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,167524.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +103,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-11-24 05:25:05.032000,2024-10-18 16:40:02,2327.0,2.0,6414.0,426.0,1350.0,1291.0,3052.0,30725.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,428.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3948.0,3831.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,120577.0,122634.0,https://anaconda.org/conda-forge/fairseq,2024-11-24 05:25:05.032,108837.0,,,,,2.0,,371.0,,,,,,,,,,,,,,,,,, +104,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,,9485.0,372.0,3164.0,1846.0,6729.0,29899.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,36,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],3398.0,3316.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,82.0,184077.0,184077.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +105,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/serve,https://github.com/jina-ai/serve,Apache-2.0,2020-02-13 17:04:44.000,2024-12-20 12:22:55.316112,2024-12-20 12:13:57,8639.0,37.0,2211.0,215.0,4222.0,4.0,1939.0,21208.0,Build multimodal AI applications with cloud-native stack.,178.0,36,True,2024-12-20 12:13:24.000,3.33.0,2490.0,jina,conda-forge/jina-core,jinaai/jina,,,27.0,,https://pypi.org/project/jina,2024-12-20 12:13:24.000,27.0,64921.0,97565.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,82666.0,https://hub.docker.com/r/jinaai/jina,2024-12-20 12:22:55.316112,8.0,1770463.0,2.0,,,jina-ai/serve,,,,,,,,,,,,,,,,, +106,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-07-30 01:38:33.000000,2020-06-01 14:58:26,2913.0,,2444.0,229.0,346.0,310.0,225.0,14465.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,23765.0,23500.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,543779.0,546672.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,190938.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +107,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-12-12 14:25:03.000000,2024-08-31 11:55:45,1340.0,,2241.0,334.0,1604.0,408.0,1864.0,14309.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",173.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1321.0,1288.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,33.0,86599.0,86599.0,,,,,,,,2.0,,,,,,,,,stable/horovod,,,,,,,,,,, +108,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-12-23 22:55:05.000000,2024-08-07 18:02:18,598.0,,1151.0,262.0,199.0,111.0,171.0,9195.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,36,True,2024-02-15 20:31:28.000,0.18.0,61.0,textblob,conda-forge/textblob,,,,47364.0,46974.0,https://pypi.org/project/textblob,2024-02-15 20:39:47.000,390.0,1244076.0,1246807.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,273143.0,,,,,2.0,,125.0,,,,,,,,,,,,,,,,,, +109,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-12-19 19:56:21.550000,2022-12-08 17:49:19,746.0,,1046.0,136.0,238.0,371.0,274.0,9047.0,Manipulate audio with a simple and easy high level interface.,95.0,36,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,78900.0,77531.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,6100050.0,6103018.0,https://anaconda.org/conda-forge/pydub,2024-12-19 19:56:21.550,133596.0,,,,,1.0,1.0,,,,,,,,,,,,,,,,,,, +110,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-12-22 09:47:16.000000,2024-12-22 09:46:56,1887.0,16.0,1377.0,146.0,256.0,222.0,147.0,8679.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",62.0,36,True,2024-12-22 00:23:34.000,2.0.3,95.0,pyod,conda-forge/pyod,,,,4694.0,4573.0,https://pypi.org/project/pyod,2024-12-22 00:21:49.000,121.0,646318.0,648735.0,https://anaconda.org/conda-forge/pyod,2024-09-06 15:18:34.744,132937.0,,,,,2.0,1.0,,,,,,,,,,,,,,,,,,, +111,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-12-22 23:51:05.000000,2024-12-22 23:51:05,662.0,114.0,2405.0,277.0,195.0,336.0,331.0,8502.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",53.0,36,True,2024-12-08 12:57:13.000,3.12.0,61.0,SpeechRecognition,conda-forge/speechrecognition,,,,633.0,21.0,https://pypi.org/project/SpeechRecognition,2024-12-08 12:56:25.000,612.0,1003573.0,1007716.0,https://anaconda.org/conda-forge/speechrecognition,2024-12-09 20:21:08.080,215443.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +112,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-12-26 09:04:53.000000,2024-12-19 19:28:10,2434.0,120.0,937.0,97.0,2752.0,370.0,1144.0,8224.0,Fast and Accurate ML in 3 Lines of Code.,130.0,36,True,2024-11-27 17:04:12.000,1.2.0,1709.0,autogluon,conda-forge/autogluon,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",939.0,909.0,https://pypi.org/project/autogluon,2024-12-26 09:04:53.000,30.0,163865.0,165146.0,https://anaconda.org/conda-forge/autogluon,2024-12-12 21:03:37.076,25087.0,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,12471.0,1.0,,,,,,,,,,,,,,,,,,,, +113,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-12-23 06:56:31.847000,2024-12-23 03:33:57,3181.0,41.0,1105.0,89.0,3533.0,382.0,2788.0,5983.0,AI Toolkit for Healthcare Imaging.,213.0,36,True,2024-10-17 00:54:28.000,1.4.0,103.0,monai,conda-forge/monai,,,['pytorch'],3418.0,3282.0,https://pypi.org/project/monai,2024-12-10 07:27:41.000,136.0,240876.0,241879.0,https://anaconda.org/conda-forge/monai,2024-12-23 06:56:31.847,36121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +114,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-12-19 15:04:28.000000,2024-12-19 15:04:27,1205.0,23.0,643.0,127.0,964.0,360.0,1116.0,4491.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",179.0,36,True,2024-11-20 04:56:30.000,8.1,51.0,coremltools,conda-forge/coremltools,,,,4445.0,4358.0,https://pypi.org/project/coremltools,2024-11-20 04:16:26.000,87.0,641658.0,643360.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,77939.0,,,,,2.0,,12558.0,,,,,,,,,,,,,,,,,, +115,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-12-17 13:59:48.000000,2024-11-06 01:12:46,4201.0,30.0,1107.0,155.0,1750.0,435.0,900.0,3928.0,Fast data visualization and GUI tools for scientific / engineering applications.,295.0,36,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,11972.0,10946.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,330946.0,342565.0,https://anaconda.org/conda-forge/pyqtgraph,2024-12-11 05:23:38.827,627465.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-12-25 04:55:50.000000,2024-12-20 13:05:38,1152.0,54.0,476.0,57.0,1358.0,427.0,449.0,2639.0,"Accelerate inference and training of Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware..",133.0,36,True,2024-10-29 17:44:37.000,1.23.3,74.0,optimum,conda-forge/optimum,,,,4334.0,4159.0,https://pypi.org/project/optimum,2024-10-29 17:43:29.000,175.0,1024319.0,1025235.0,https://anaconda.org/conda-forge/optimum,2024-05-29 19:43:21.254,29324.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +117,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-12-26 11:34:34.000000,2024-12-20 23:50:21,2324.0,10.0,655.0,73.0,2918.0,263.0,728.0,2569.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",229.0,36,True,2024-10-29 17:41:14.000,2.5.1,39.0,torchaudio,,,,['pytorch'],1399.0,,https://pypi.org/project/torchaudio,2024-10-29 17:41:14.000,1399.0,5078540.0,5078540.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +118,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-12-26 07:26:29.000000,2024-12-24 19:20:21,3667.0,377.0,311.0,70.0,2434.0,73.0,725.0,2397.0,Adaptive Experimentation Platform.,180.0,36,True,2024-09-23 20:22:26.000,0.4.3,43.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],914.0,860.0,https://pypi.org/project/ax-platform,2024-09-23 20:22:26.000,54.0,114642.0,115380.0,https://anaconda.org/conda-forge/ax-platform,2024-12-23 16:47:03.234,31029.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +119,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-12-26 06:40:15.359000,2024-12-25 14:25:25,2017.0,91.0,407.0,35.0,1752.0,77.0,822.0,2164.0,"Machine learning metrics for distributed, scalable PyTorch applications.",262.0,36,True,2024-12-25 23:50:39.000,1.6.1,54.0,metrics,conda-forge/torchmetrics,,,['pytorch'],34460.0,34458.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,4226.0,42893.0,https://anaconda.org/conda-forge/torchmetrics,2024-12-26 06:40:15.359,1734080.0,,,,,2.0,,5961.0,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,, +120,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-12-18 20:35:19.000000,2024-12-03 16:56:50,4986.0,89.0,1102.0,150.0,1386.0,79.0,711.0,1914.0,Documentation and samples for ArcGIS API for Python.,94.0,36,True,2024-09-24 16:57:38.000,2.4.0,50.0,arcgis,,esridocker/arcgis-api-python-notebook,,,921.0,881.0,https://pypi.org/project/arcgis,2024-10-01 15:35:29.000,40.0,83267.0,83401.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,,13323.0,,,,,,,,,,,,,,,,,, +121,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-12-18 03:01:58.000000,2024-12-18 03:01:53,900.0,11.0,348.0,42.0,1079.0,189.0,173.0,1240.0,Making text a first-class citizen in TensorFlow.,164.0,36,True,2024-12-17 19:04:40.000,2.18.1,74.0,tensorflow-text,,,,['tensorflow'],7974.0,7755.0,https://pypi.org/project/tensorflow-text,2024-12-16 21:46:55.000,219.0,9237825.0,9237825.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +122,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-12-23 07:50:05.000000,2024-11-18 15:17:40,1568.0,7.0,202.0,47.0,623.0,32.0,775.0,1167.0,Fiona reads and writes geographic data files.,76.0,36,True,2024-09-16 20:20:31.000,1.10.1,117.0,fiona,conda-forge/fiona,,,,24127.0,23824.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,303.0,4361647.0,4480310.0,https://anaconda.org/conda-forge/fiona,2024-12-06 18:05:16.036,6289146.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +123,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-12-04 13:30:48.000000,2024-12-04 13:29:21,1593.0,23.0,215.0,34.0,720.0,32.0,595.0,1076.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,69.0,36,True,2024-10-01 05:02:59.000,3.7.0,63.0,pyproj,conda-forge/pyproj,,,,39051.0,37311.0,https://pypi.org/project/pyproj,2024-10-01 05:02:59.000,1740.0,8794802.0,8969096.0,https://anaconda.org/conda-forge/pyproj,2024-10-01 16:10:00.706,9237586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +124,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-12-23 04:20:57.000000,2024-12-17 17:48:18,15068.0,185.0,530.0,51.0,2332.0,420.0,969.0,752.0,Workflows and interfaces for neuroimaging packages.,261.0,36,True,2024-12-17 18:04:58.000,1.9.2,67.0,nipype,conda-forge/nipype,,,,5617.0,5465.0,https://pypi.org/project/nipype,2024-12-17 18:04:58.000,152.0,217248.0,231330.0,https://anaconda.org/conda-forge/nipype,2024-12-18 13:52:44.972,732313.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +125,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-12-12 17:03:50.685000,2024-12-07 02:29:14,6055.0,55.0,259.0,37.0,860.0,130.0,415.0,663.0,Python package to access a cacophony of neuro-imaging file formats.,106.0,36,True,2024-10-23 14:19:52.000,5.3.2,45.0,nibabel,conda-forge/nibabel,,,,25048.0,23867.0,https://pypi.org/project/nibabel,2024-10-23 14:19:52.000,1181.0,768653.0,783734.0,https://anaconda.org/conda-forge/nibabel,2024-12-12 17:03:50.685,814418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +126,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-08-21 06:22:36.000000,2022-06-10 09:12:18,238.0,,13504.0,1569.0,234.0,795.0,592.0,53790.0,The worlds simplest facial recognition api for Python and the command line.,54.0,35,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],3905.0,3789.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,143285.0,143910.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,31153.0,,,,,2.0,,1398.0,,,,,,,,,,,,,,,,,, +127,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,,3151.0,318.0,263.0,436.0,598.0,24975.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,35,True,2024-09-24 11:34:43.000,1.7.2,33.0,easyocr,,,,,10409.0,10196.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,213.0,719215.0,1033153.0,,,,,,,,1.0,,16952689.0,,,,,,,,,,,,,,,,,, +128,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-10-28 18:51:40.000000,2024-10-20 08:37:57,818.0,13.0,4535.0,452.0,469.0,424.0,1734.0,18667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,183.0,35,True,2024-10-02 23:56:39.000,1.1.6-patched-pypi,18.0,fbprophet,conda-forge/prophet,,,,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,209014.0,238910.0,https://anaconda.org/conda-forge/prophet,2024-10-04 13:02:12.277,1314101.0,,,,,1.0,,2915.0,,,,,,,,,,,,,,,,,, +129,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-12-25 11:40:47.000000,2024-12-21 08:46:30,3794.0,121.0,1948.0,144.0,4141.0,113.0,3515.0,18281.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",273.0,35,True,2024-12-05 11:26:41.000,2.8.0,100.0,haystack,,,,,721.0,716.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,5795.0,5795.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-12-23 10:08:40.000000,2024-12-13 01:00:21,3926.0,58.0,1022.0,138.0,189.0,113.0,1094.0,14444.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",102.0,35,True,2024-12-09 08:48:06.000,16.7.0,248.0,ocrmypdf,conda-forge/ocrmypdf,,,,1142.0,1105.0,https://pypi.org/project/ocrmypdf,2024-12-09 08:47:35.000,37.0,172873.0,175122.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,86075.0,,,,,1.0,,6052.0,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +131,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Intel-ACPI,2021-01-19 08:37:25.000,2024-12-18 19:35:51.000000,2024-12-06 11:14:53,18781.0,109.0,5743.0,71.0,11746.0,942.0,15953.0,14022.0,Convert Machine Learning Code Between Frameworks.,1479.0,35,False,2024-11-03 19:38:51.000,1.0.0.1,134.0,ivy,,,,,14.0,,https://pypi.org/project/ivy,2024-11-03 21:39:07.000,14.0,17806.0,17806.0,,,,,,,,2.0,,,ivy-llc/ivy,,,,,,,,,,,,,,,,, +132,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2254.0,280.0,3096.0,91.0,2477.0,11779.0,"An open-source NLP research library, built on PyTorch.",267.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4432.0,4307.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,53322.0,55609.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,164725.0,,,,,2.0,,71.0,,,,,,,,,,,,,,,,,, +133,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-12-23 02:54:43.000000,2024-11-03 12:40:00,33357.0,139.0,1994.0,198.0,5867.0,46.0,3392.0,9561.0,Perform data science on data that remains in someone elses server.,515.0,35,True,2024-10-30 16:39:01.000,0.9.2,323.0,syft,,,,['pytorch'],5.0,1.0,https://pypi.org/project/syft,2024-11-03 12:40:12.000,4.0,9111.0,9293.0,,,,,,,,1.0,,2374.0,,,,,,,,,,,,,,,,,, +134,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-12-16 01:34:24.000000,2024-08-30 03:34:11,5357.0,,1775.0,136.0,1034.0,388.0,1949.0,9041.0,"An open-source, low-code machine learning library in Python.",141.0,35,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,6897.0,6866.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,337825.0,338997.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,60303.0,,,,,2.0,,720.0,,,,,,,,,,,,,,,,,, +135,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-12-21 06:36:23.000000,2024-12-16 18:10:12,701.0,4.0,352.0,69.0,129.0,33.0,152.0,8607.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",32.0,35,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,57299.0,55259.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,2040.0,5215098.0,5221294.0,https://anaconda.org/conda-forge/einops,2024-12-15 10:47:58.140,309806.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +136,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-12-25 02:25:30.000000,2024-12-23 18:06:36,40026.0,470.0,912.0,155.0,11035.0,1073.0,5629.0,8554.0,cuDF - GPU DataFrame Library.,299.0,35,True,2024-12-11 19:11:01.000,24.12.00,58.0,cudf,,,,,81.0,59.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,3068.0,3068.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-11-27 22:22:10.016000,2024-08-01 18:55:53,10421.0,,1925.0,352.0,3431.0,134.0,1140.0,8501.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,35,True,2024-08-08 17:57:21.000,9.10.0,30.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,41.0,1.0,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,59129.0,64343.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-11-27 22:22:10.016,260734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +138,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-12-25 17:02:27.000000,2024-12-20 17:19:46,1136.0,81.0,777.0,294.0,1511.0,322.0,436.0,8383.0,Open Source AI/ML Platform.,100.0,35,True,2024-12-20 06:48:48.000,2.13,164.0,metaflow,conda-forge/metaflow,,,,823.0,776.0,https://pypi.org/project/metaflow,2024-12-20 07:38:43.000,47.0,1062233.0,1066744.0,https://anaconda.org/conda-forge/metaflow,2024-12-05 21:14:08.213,239121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-11-29 15:34:40.000000,2024-11-29 15:34:40,1865.0,43.0,811.0,127.0,291.0,485.0,340.0,7541.0,Uniform Manifold Approximation and Projection.,138.0,35,True,2024-10-28 18:05:55.000,0.5.7,41.0,umap-learn,conda-forge/umap-learn,,,,1061.0,1.0,https://pypi.org/project/umap-learn,2024-10-28 18:05:55.000,1060.0,1732333.0,1783303.0,https://anaconda.org/conda-forge/umap-learn,2024-10-29 17:21:14.789,2752395.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +140,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-12-26 13:35:10.000000,2024-12-26 13:35:10,3420.0,127.0,797.0,76.0,3799.0,166.0,932.0,7244.0,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines,..",214.0,35,True,2024-12-24 09:29:59.000,1.3.17,172.0,bentoml,,,,,2321.0,2288.0,https://pypi.org/project/bentoml,2024-12-24 09:29:59.000,33.0,99208.0,99224.0,,,,,,,,2.0,,806.0,,,,,,,,,,,,,,,,,, +141,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-12-11 19:23:54.000000,2024-12-11 19:01:35,1284.0,51.0,657.0,62.0,145.0,71.0,450.0,6055.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",43.0,35,True,2024-12-11 19:23:54.000,2.8.1,215.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],2219.0,2164.0,https://pypi.org/project/pytorch-metric-learning,2024-12-11 19:21:13.000,55.0,669829.0,670037.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,12309.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +142,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-12-23 07:26:45.000000,2024-12-20 00:33:15,12510.0,66.0,1171.0,99.0,1411.0,144.0,880.0,4957.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",140.0,35,True,2024-12-20 00:51:46.000,1.19.0,62.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,651.0,631.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-12-20 00:38:03.000,20.0,63410.0,64490.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-12-20 21:20:31.925,57246.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +143,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-11-16 09:07:24.553000,2024-11-15 00:41:39,1657.0,11.0,871.0,115.0,538.0,147.0,345.0,4942.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,111.0,35,True,2024-11-15 00:43:08.000,0.23.3,54.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],16980.0,16792.0,https://pypi.org/project/mlxtend,2024-11-15 00:43:08.000,188.0,736795.0,743120.0,https://anaconda.org/conda-forge/mlxtend,2024-11-16 09:07:24.553,335262.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +144,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-12-24 06:18:02.000000,2024-12-24 06:18:02,988.0,8.0,852.0,90.0,228.0,139.0,687.0,4624.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",50.0,35,True,2024-06-17 17:55:00.000,84,74.0,opencv-python,,,,,496548.0,486192.0,https://pypi.org/project/opencv-python,2024-06-17 18:28:13.000,10356.0,14003184.0,14003184.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-12-26 00:18:34.000000,2024-12-16 23:32:20,1746.0,21.0,620.0,60.0,1895.0,157.0,1271.0,4560.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,729.0,35,True,2024-08-13 12:47:02.000,0.5.1,1840.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],3533.0,3432.0,https://pypi.org/project/pytorch-ignite,2024-12-26 00:18:34.000,101.0,125774.0,128468.0,https://anaconda.org/pytorch/ignite,2024-08-13 12:46:51.642,210142.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-12-20 23:38:25.000000,2024-12-16 12:54:47,2445.0,41.0,227.0,65.0,145.0,81.0,614.0,4087.0,A Grammar of Graphics for Python.,112.0,35,True,2024-12-16 14:20:46.000,0.14.4,32.0,plotnine,conda-forge/plotnine,,,,10245.0,9916.0,https://pypi.org/project/plotnine,2024-12-16 13:55:54.000,329.0,3249982.0,3257885.0,https://anaconda.org/conda-forge/plotnine,2024-12-16 16:11:17.647,426808.0,,,,,2.0,-2.0,,,,,,,,,,,,,,,,,,, +147,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-12-25 05:30:38.000000,2024-12-20 11:15:55,8639.0,37.0,715.0,101.0,13390.0,35.0,865.0,3895.0,State of the Art Natural Language Processing.,114.0,35,True,2024-12-18 17:20:39.000,5.5.2,150.0,spark-nlp,,,,['spark'],570.0,533.0,https://pypi.org/project/spark-nlp,2024-12-18 16:04:08.000,37.0,4064868.0,4064868.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +148,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-12-16 12:35:23.000000,2024-12-11 13:00:06,5345.0,3.0,277.0,79.0,798.0,21.0,129.0,2828.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",66.0,35,True,2024-12-16 12:35:23.000,8.3.3,242.0,thinc,conda-forge/thinc,,,,58249.0,58099.0,https://pypi.org/project/thinc,2024-12-16 12:35:23.000,150.0,11889705.0,11948511.0,https://anaconda.org/conda-forge/thinc,2024-12-03 05:26:04.520,3234092.0,,,,,2.0,,568.0,,,,,,,,,,,,,,,,,, +149,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,,213.0,32.0,47.0,12.0,170.0,1665.0,Simple Python interface for Graphviz.,23.0,35,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,81490.0,78871.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2619.0,15599086.0,15599638.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,50873.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +150,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-12-24 17:15:08.000000,2024-12-24 17:15:04,1575.0,9.0,407.0,49.0,1526.0,182.0,690.0,1626.0,Exploratory analysis of Bayesian models with Python.,164.0,35,True,2024-09-28 20:50:27.000,0.20.0,39.0,arviz,conda-forge/arviz,,,,8954.0,8641.0,https://pypi.org/project/arviz,2024-09-28 20:50:27.000,313.0,1238717.0,1279998.0,https://anaconda.org/conda-forge/arviz,2024-12-13 11:00:38.877,2270360.0,,,,,1.0,,177.0,,,,,,,,,,,,,,,,,, +151,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-12-10 20:37:31.000000,2024-12-10 20:37:29,3127.0,47.0,365.0,55.0,1221.0,313.0,994.0,1447.0,Cartopy - a cartographic python library with matplotlib support.,129.0,35,True,2024-10-08 23:24:50.000,0.24.1,32.0,cartopy,conda-forge/cartopy,,,,6958.0,6240.0,https://pypi.org/project/cartopy,2024-10-08 23:24:50.000,718.0,359724.0,438469.0,https://anaconda.org/conda-forge/cartopy,2024-10-07 23:20:51.384,4330992.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +152,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/uxlfoundation/scikit-learn-intelex,https://github.com/uxlfoundation/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-12-25 18:35:39.000000,2024-12-24 17:14:54,1977.0,136.0,177.0,29.0,1947.0,44.0,196.0,1235.0,Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,83.0,35,True,2024-12-12 12:04:02.000,2025.0.1,32.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],12807.0,12752.0,https://pypi.org/project/scikit-learn-intelex,2024-12-12 12:04:02.000,55.0,121056.0,130075.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-11-13 16:09:05.160,396855.0,,,,,1.0,,,uxlfoundation/scikit-learn-intelex,,,,,,,,,,,,,,,,, +153,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-12-17 14:21:05.486000,2024-07-30 00:56:56,1557.0,,155.0,40.0,132.0,4.0,645.0,1173.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,35,True,2024-07-30 00:58:25.000,1.12.0,37.0,agate,conda-forge/agate,,,,4263.0,4214.0,https://pypi.org/project/agate,2024-07-30 00:58:25.000,49.0,13315350.0,13321431.0,https://anaconda.org/conda-forge/agate,2024-12-17 14:21:05.486,261507.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +154,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-08-16 12:07:14.000000,2024-02-10 14:20:58,4668.0,,4374.0,297.0,753.0,88.0,1048.0,36353.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",166.0,34,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",2071.0,2018.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,144020.0,230776.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,20545.0,,,,,2.0,,3879741.0,,,,,,,,,,,,,,,,,, +155,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-12-19 21:33:27.000000,2024-12-19 21:30:34,1539.0,9.0,7505.0,390.0,693.0,542.0,3078.0,30881.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",275.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],2211.0,2198.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,9654.0,https://anaconda.org/conda-forge/detectron2,2024-11-06 15:19:24.704,511686.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-06-12 09:44:40.000000,2024-03-13 15:16:33,391.0,,4719.0,846.0,268.0,555.0,611.0,25996.0,Library for fast text representation and classification.,68.0,34,True,2024-06-12 09:44:40.000,0.9.3,37.0,fasttext,conda-forge/fasttext,,,,7262.0,7015.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1766502.0,1768746.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,114485.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +157,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-12-24 07:18:07.000000,2024-12-23 13:35:54,9029.0,16.0,3127.0,275.0,1306.0,164.0,711.0,19515.0,Best Practices on Recommendation Systems.,137.0,34,True,2024-12-24 07:39:57.000,1.2.1,14.0,recommenders,,,,,145.0,141.0,https://pypi.org/project/recommenders,2024-12-24 07:18:07.000,4.0,37549.0,37557.0,,,,,,,,1.0,,648.0,recommenders-team/recommenders,,,,,,,,,,,,,,,,, +158,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4446.0,546.0,717.0,416.0,1283.0,14134.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,34,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,6056.0,6038.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,34239.0,34239.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-09-05 05:37:11.713000,2024-07-29 00:37:39,894.0,,1164.0,318.0,268.0,58.0,343.0,13353.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,34,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4779.0,4578.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,846997.0,858665.0,https://anaconda.org/conda-forge/python-annoy,2024-09-05 05:37:11.713,595084.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +160,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-11-30 17:36:40.595000,2024-11-29 01:15:54,2663.0,5.0,693.0,105.0,499.0,610.0,1265.0,9655.0,An open source multi-tool for exploring and publishing data.,80.0,34,True,2024-11-29 01:18:11.000,0.65.1,154.0,datasette,conda-forge/datasette,,,,1794.0,1379.0,https://pypi.org/project/datasette,2024-11-29 01:18:11.000,415.0,209701.0,210844.0,https://anaconda.org/conda-forge/datasette,2024-11-30 17:36:40.595,50271.0,,,,,2.0,,69.0,,,,,,,,datasette,,,,,,,,,, +161,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-12-24 00:10:37.000000,2024-12-24 00:05:26,1194.0,18.0,1318.0,149.0,182.0,277.0,1363.0,8928.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,153.0,34,False,2024-09-13 14:37:23.000,V0.7.8,19.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],1087.0,1073.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,3750.0,8293.0,https://anaconda.org/pytorch3d/pytorch3d,2024-09-13 14:58:15.228,277152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +162,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-12-25 07:02:12.000000,2024-12-25 06:44:36,2948.0,19.0,1681.0,93.0,1705.0,236.0,2130.0,8791.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,34,True,2024-11-05 11:28:52.000,2.10.0,20.0,paddleseg,,,,['paddle'],1339.0,1332.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1623.0,1623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-12-25 04:48:33.228000,2024-12-23 05:10:02,6216.0,119.0,1194.0,125.0,1771.0,114.0,730.0,8697.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",98.0,34,True,2024-12-23 07:07:47.000,3.2.1,141.0,perspective-python,conda-forge/perspective,,,['jupyter'],192.0,158.0,https://pypi.org/project/perspective-python,2024-12-23 07:03:32.000,28.0,12635.0,40160.0,https://anaconda.org/conda-forge/perspective,2024-12-25 04:48:33.228,1410626.0,,,,,2.0,,7477.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-12-23 07:05:48.923,6.0,964.0,,,,,,,,,,,, +164,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-12-24 06:20:02.000000,2024-12-24 06:19:04,4785.0,98.0,895.0,140.0,501.0,94.0,815.0,7324.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",69.0,34,True,2024-12-24 06:07:22.000,1.10.1,30.0,stanza,stanfordnlp/stanza,,,,3547.0,3351.0,https://pypi.org/project/stanza,2024-12-24 06:07:22.000,196.0,245271.0,245416.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,8306.0,,,,,2.0,2.0,,,,,,,,,,,,,,,,,,, +165,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-12-23 23:20:18.000000,2024-09-25 17:28:01,1221.0,,1051.0,121.0,278.0,143.0,550.0,7297.0,Distributed Asynchronous Hyperparameter Optimization in Python.,104.0,34,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,18919.0,18466.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2202046.0,2218160.0,https://anaconda.org/conda-forge/hyperopt,2024-12-20 15:53:47.629,805700.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +166,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-12-26 00:36:34.000000,2024-12-18 07:37:27,32554.0,35.0,2004.0,386.0,6899.0,2850.0,6682.0,6969.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",269.0,34,True,,,156.0,h2o,,,,,70.0,21.0,https://pypi.org/project/h2o,2024-11-02 07:09:16.000,49.0,214197.0,214197.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +167,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-12-23 16:42:48.000000,2024-12-23 16:42:41,883.0,18.0,1289.0,142.0,514.0,48.0,568.0,6883.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,86.0,34,True,2024-12-20 18:36:46.000,0.13.0,39.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],476.0,,https://pypi.org/project/imbalanced-learn,2024-12-20 16:50:20.000,476.0,15444099.0,15456077.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-12-20 17:56:21.144,646830.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +168,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-12-26 09:53:20.000000,2024-12-26 09:53:11,3577.0,179.0,735.0,146.0,133.0,106.0,350.0,6332.0,Fit interpretable models. Explain blackbox machine learning.,48.0,34,True,2024-12-10 09:46:40.000,0.6.8,56.0,interpret,,,,['jupyter'],859.0,809.0,https://pypi.org/project/interpret,2024-12-10 09:46:40.000,50.0,143861.0,143861.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +169,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1368.0,281.0,6588.0,12.0,2032.0,5898.0,A flexible framework of neural networks for deep learning.,326.0,34,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3415.0,3357.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,69853.0,70212.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,20864.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +170,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-12-24 20:22:53.000000,2024-12-24 18:39:49,10567.0,32.0,1704.0,144.0,2505.0,665.0,1241.0,5621.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",252.0,34,True,2024-04-03 16:21:23.000,2.8.0,955.0,deepchem,conda-forge/deepchem,,,['tensorflow'],489.0,475.0,https://pypi.org/project/deepchem,2024-12-24 20:22:53.000,14.0,49642.0,51718.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,112113.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +171,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-12-23 02:59:55.000000,2024-12-23 02:59:54,30570.0,182.0,1613.0,189.0,2228.0,28.0,1614.0,5170.0,"mlpack: a fast, header-only C++ machine learning library.",327.0,34,True,2024-12-11 15:13:47.000,4.5.1,49.0,mlpack,conda-forge/mlpack,,,,6.0,,https://pypi.org/project/mlpack,2024-12-11 15:13:47.000,6.0,5025.0,10285.0,https://anaconda.org/conda-forge/mlpack,2024-09-22 00:54:14.076,284065.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-12-23 23:51:03.000000,2024-12-23 23:41:43,1216.0,80.0,499.0,280.0,906.0,249.0,341.0,4996.0,Model interpretability and understanding for PyTorch.,125.0,34,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2802.0,2676.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,126.0,289304.0,292242.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,105785.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +173,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-12-23 21:22:40.000000,2024-12-20 15:29:14,1352.0,26.0,290.0,41.0,500.0,103.0,248.0,4057.0,Lightning fast forecasting with statistical and econometric models.,48.0,34,True,2024-11-26 23:47:16.000,2.0.0,38.0,statsforecast,conda-forge/statsforecast,,,,1386.0,1327.0,https://pypi.org/project/statsforecast,2024-11-26 23:47:16.000,59.0,930298.0,933862.0,https://anaconda.org/conda-forge/statsforecast,2024-12-05 02:05:49.029,117640.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +174,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-12-16 09:39:33.334000,2024-12-12 10:23:51,1538.0,16.0,366.0,91.0,784.0,138.0,452.0,3340.0,Quickly and accurately render even the largest data.,58.0,34,True,2024-07-04 16:40:09.000,0.16.3,51.0,datashader,conda-forge/datashader,,,,5451.0,5255.0,https://pypi.org/project/datashader,2024-07-04 12:26:22.000,196.0,142252.0,165421.0,https://anaconda.org/conda-forge/datashader,2024-12-16 09:39:33.334,1274339.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +175,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-12-24 10:55:29.000000,2024-12-24 02:28:48,2071.0,68.0,405.0,52.0,1823.0,79.0,483.0,3130.0,Bayesian optimization in PyTorch.,135.0,34,True,2024-09-17 16:43:01.000,0.12.0,47.0,botorch,conda-forge/botorch,,,['pytorch'],1360.0,1276.0,https://pypi.org/project/botorch,2024-09-17 16:43:01.000,84.0,184703.0,187292.0,https://anaconda.org/conda-forge/botorch,2024-12-19 17:35:43.917,134679.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +176,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2024-11-18 16:14:10.000000,2024-11-18 15:46:29,1050.0,16.0,505.0,56.0,152.0,359.0,171.0,2827.0,A high performance implementation of HDBSCAN clustering.,96.0,34,True,2024-11-18 16:14:10.000,0.8.40,57.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],4848.0,4496.0,https://pypi.org/project/hdbscan,2024-11-18 16:14:10.000,352.0,743404.0,788773.0,https://anaconda.org/conda-forge/hdbscan,2024-10-12 13:49:18.321,2268483.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-12-18 06:27:04.000000,2024-12-18 06:27:04,3051.0,53.0,717.0,76.0,945.0,297.0,652.0,2784.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",133.0,34,True,2024-08-09 17:03:45.000,0.1.26,26.0,pgmpy,,,,,1359.0,1306.0,https://pypi.org/project/pgmpy,2024-08-09 16:48:04.000,53.0,92315.0,92325.0,,,,,,,,1.0,,577.0,,,,,,,,,,,,,,,,,, +178,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-12-23 20:30:51.001000,2024-12-23 19:20:10,5370.0,75.0,562.0,20.0,1471.0,1135.0,713.0,2337.0,"This is the development home of the workflow management system Snakemake. For general information, see.",347.0,34,True,2024-12-23 19:21:12.000,8.26.0,374.0,snakemake,bioconda/snakemake,,,,2445.0,2189.0,https://pypi.org/project/snakemake,2024-12-23 19:21:12.000,256.0,83984.0,95541.0,https://anaconda.org/bioconda/snakemake,2024-12-23 20:30:51.001,1271337.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +179,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-12-24 01:00:06.000000,2024-12-12 02:46:04,5965.0,86.0,714.0,88.0,6050.0,257.0,867.0,2123.0,TFX is an end-to-end platform for deploying production ML pipelines.,192.0,34,True,2024-12-11 20:13:47.000,1.16.0,100.0,tfx,,,,['tensorflow'],1657.0,1640.0,https://pypi.org/project/tfx,2024-12-11 20:13:47.000,17.0,30927.0,30927.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +180,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-12-23 21:02:00.000000,2024-12-23 21:02:00,579.0,21.0,104.0,35.0,72.0,72.0,84.0,957.0,Describing statistical models in Python using symbolic formulas.,22.0,34,True,2024-11-12 14:10:52.000,1.0.1,15.0,patsy,conda-forge/patsy,,,,112794.0,112261.0,https://pypi.org/project/patsy,2024-11-12 14:10:52.000,533.0,14251799.0,14595676.0,https://anaconda.org/conda-forge/patsy,2024-12-10 01:03:13.551,13411218.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +181,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-12-25 09:03:26.000000,2024-12-25 09:03:25,3779.0,72.0,4349.0,384.0,4253.0,446.0,1268.0,38966.0,"Making large AI models cheaper, faster and more accessible.",192.0,33,True,2024-11-04 09:28:04.000,0.4.6,46.0,,,,,,454.0,454.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +182,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-12-26 14:23:03.000000,2024-12-26 12:05:08,7361.0,1211.0,2987.0,274.0,7497.0,139.0,694.0,27279.0,You like pytorch? You like micrograd? You love tinygrad!.,357.0,33,True,2024-11-19 00:48:26.000,0.10.0,9.0,,,,,['pytorch'],150.0,150.0,,,,,,,,,,,,,1.0,,,tinygrad/tinygrad,,,,,,,,,,,,,,,,, +183,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,MulanPSL-1.0,2018-08-02 17:56:45.000,2024-12-26 07:44:09.000000,2024-12-24 13:56:57,18959.0,295.0,4884.0,398.0,5740.0,150.0,3996.0,26989.0,Platform for building AI that can learn and answer questions over federated data.,864.0,33,False,2024-12-24 13:58:35.000,24.12.4.0,509.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-12-24 13:59:38.000,,13861.0,13861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +184,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-09-03 21:17:43.000000,2021-11-17 17:52:52,3466.0,,3975.0,674.0,1678.0,151.0,1988.0,25511.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],503.0,479.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,18741.0,35053.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,3404.0,,,,,2.0,,1217220.0,,,,,,,,,,,,,,,,,, +185,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-12-25 16:33:25.000000,2024-12-09 13:38:58,3653.0,331.0,1434.0,128.0,4074.0,348.0,1036.0,21101.0,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also..",128.0,33,True,2024-12-09 15:05:46.000,1.12.5,89.0,,,,,,115.0,115.0,,,,,6136.0,,,,,,,,2.0,,270026.0,,,,,,,,,,,,,,,,,, +186,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-11-19 19:28:48.000000,2024-08-01 02:26:04,1422.0,,3739.0,753.0,1141.0,417.0,589.0,19255.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],557.0,552.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,8698.0,8698.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +187,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-12-21 10:45:53.176000,2021-07-29 23:17:25,531.0,,1811.0,262.0,117.0,120.0,535.0,11680.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,7182.0,6979.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,301742.0,306208.0,https://anaconda.org/conda-forge/lime,2024-12-21 10:45:53.176,241204.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +188,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-12-23 23:13:18.000000,2024-10-17 22:52:09,3861.0,4.0,1193.0,194.0,2870.0,45.0,1037.0,11256.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",157.0,33,True,2024-07-30 00:29:49.000,0.10.4,56.0,ludwig,,,,['tensorflow'],295.0,289.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,1753.0,1753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +189,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-12-02 14:23:48.392000,2024-11-10 14:19:33,580.0,2.0,2312.0,218.0,255.0,130.0,418.0,10224.0,A little word cloud generator in Python.,72.0,33,True,2024-11-10 14:34:59.000,1.9.4,21.0,wordcloud,conda-forge/wordcloud,,,,567.0,21.0,https://pypi.org/project/wordcloud,2024-11-10 14:34:59.000,546.0,1852234.0,1863261.0,https://anaconda.org/conda-forge/wordcloud,2024-12-02 14:23:48.392,584445.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-12-23 09:51:44.000000,2024-12-23 09:41:02,391.0,10.0,1552.0,131.0,171.0,9.0,357.0,7994.0,A Python implementation of global optimization with gaussian processes.,47.0,33,True,2024-12-23 09:51:44.000,2.0.3,20.0,bayesian-optimization,,,,,3333.0,3179.0,https://pypi.org/project/bayesian-optimization,2024-12-23 09:51:44.000,154.0,404259.0,404260.0,,,,,,,,1.0,,166.0,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,, +191,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2024-12-24 16:44:59.000000,2024-12-24 16:44:32,537.0,9.0,862.0,85.0,287.0,81.0,376.0,7892.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,33,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,52511.0,51886.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,2849915.0,2873391.0,https://anaconda.org/conda-forge/tensorboardx,2024-12-20 17:16:01.349,1243966.0,,,,,2.0,,455.0,,,,,,,,,,,,,,,,,, +192,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-12-26 09:39:14.000000,2024-12-26 09:39:13,3826.0,335.0,1276.0,253.0,9948.0,1020.0,1645.0,6842.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL,..",113.0,33,True,2024-08-22 09:06:57.000,2.1.0,869.0,bigdl,,,,,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,25448.0,25455.0,,,,,,,,2.0,,645.0,intel-analytics/ipex-llm,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,, +193,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-12-23 16:42:32.000000,2024-12-23 16:42:30,213.0,10.0,1106.0,201.0,160.0,147.0,344.0,6353.0,Official Kaggle API.,48.0,33,True,2024-07-24 19:08:19.000,1.6.17,74.0,kaggle,conda-forge/kaggle,,,,230.0,21.0,https://pypi.org/project/kaggle,2024-07-24 19:08:19.000,209.0,234995.0,238901.0,https://anaconda.org/conda-forge/kaggle,2024-07-27 21:52:01.276,199224.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +194,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-11-20 23:50:19.000000,2024-11-20 23:50:18,2341.0,7.0,1123.0,192.0,240.0,279.0,285.0,5902.0,Distributed Evolutionary Algorithms in Python.,89.0,33,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,5863.0,5611.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,252.0,317175.0,326603.0,https://anaconda.org/conda-forge/deap,2024-09-03 13:46:04.210,471409.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +195,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-12-25 15:49:37.000000,2024-12-25 15:49:31,2458.0,31.0,660.0,97.0,276.0,505.0,575.0,5760.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",102.0,33,True,2024-12-18 15:45:08.000,1.17.0,175.0,clearml,,allegroai/trains,,,1514.0,1463.0,https://pypi.org/project/clearml,2024-12-18 15:41:51.000,51.0,327644.0,328149.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30334.0,2.0,,3041.0,,,,,,,,,,,,,,,,,, +196,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-12-16 09:41:32.291000,2023-11-23 21:41:49,1136.0,,648.0,89.0,273.0,42.0,253.0,4533.0,Geocoding library for Python.,133.0,33,False,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,901.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,901.0,6129253.0,6157810.0,https://anaconda.org/conda-forge/geopy,2024-12-16 09:41:32.291,1542091.0,,,,,2.0,,110.0,,,,,,,,,,,,,,,,,, +197,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-12-20 19:49:50.000000,2024-12-20 19:13:34,3885.0,8.0,867.0,57.0,1721.0,425.0,1272.0,4275.0,"Serve, optimize and scale PyTorch models in production.",218.0,33,True,2024-09-30 22:46:39.000,0.12.0,26.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],800.0,778.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,22.0,45792.0,75315.0,https://anaconda.org/pytorch/torchserve,2024-09-30 18:57:10.837,402071.0,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,30.0,1377228.0,2.0,,7350.0,,,,,,,,,,,,,,,,,, +198,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-12-24 00:08:39.000000,2024-12-20 10:10:54,3603.0,190.0,386.0,32.0,3416.0,103.0,2079.0,4142.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,105.0,33,True,2024-12-18 15:46:15.000,2.6.0,100.0,rubrix,conda-forge/rubrix,,,,2845.0,2845.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,1650.0,2756.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,39846.0,,,,,2.0,,,argilla-io/argilla,,,,,,,,,,,,,,,,, +199,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-12-05 17:02:55.000000,2024-12-05 17:02:46,1132.0,21.0,355.0,58.0,1405.0,123.0,185.0,3980.0,A Python toolbox for performing gradient-free optimization.,57.0,33,True,2024-12-01 08:46:15.000,1.0.8,51.0,nevergrad,conda-forge/nevergrad,,,,864.0,802.0,https://pypi.org/project/nevergrad,2024-12-01 08:46:15.000,62.0,121670.0,122705.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,56933.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +200,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-12-23 22:00:12.774000,2024-10-30 21:00:25,674.0,36.0,122.0,75.0,75.0,8.0,136.0,3832.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",20.0,33,True,2024-10-26 00:51:07.000,6.3.1,55.0,ftfy,conda-forge/ftfy,,,,26158.0,25587.0,https://pypi.org/project/ftfy,2024-10-26 00:50:33.000,571.0,4382852.0,4389456.0,https://anaconda.org/conda-forge/ftfy,2024-12-23 22:00:12.774,310422.0,,,,,2.0,,26.0,,,,,,,,,,,,,,,,,, +201,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-12-26 11:34:39.000000,2024-08-14 20:32:21,1311.0,,812.0,318.0,1470.0,332.0,519.0,3526.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,33,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,972889.0,972889.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +202,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-11-25 12:35:24.000000,2024-11-09 15:17:22,7402.0,3.0,618.0,115.0,1191.0,365.0,1115.0,3341.0,High-performance interactive 2D/3D data visualization library.,199.0,33,True,2024-06-17 12:39:47.000,0.14.3,39.0,vispy,conda-forge/vispy,,,['jupyter'],1957.0,1781.0,https://pypi.org/project/vispy,2024-06-17 12:32:22.000,173.0,226792.0,239901.0,https://anaconda.org/conda-forge/vispy,2024-09-04 12:47:04.775,668101.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,9.0,,,,,,,,,,,, +203,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-12-19 01:31:07.889000,2024-10-29 11:59:38,2311.0,8.0,559.0,70.0,487.0,267.0,713.0,2392.0,Survival analysis in Python.,120.0,33,True,2024-10-29 12:00:41.000,0.30.0,172.0,lifelines,conda-forge/lifelines,,,,3366.0,3205.0,https://pypi.org/project/lifelines,2024-10-29 12:00:41.000,161.0,2522052.0,2529135.0,https://anaconda.org/conda-forge/lifelines,2024-12-19 01:31:07.889,389581.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +204,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-12-17 14:25:05.549000,2024-12-14 19:36:16,574.0,9.0,159.0,42.0,83.0,7.0,136.0,2079.0,a python library for doing approximate and phonetic matching of strings.,34.0,33,True,2024-12-14 19:43:04.000,1.1.3,46.0,jellyfish,conda-forge/jellyfish,,,,12236.0,11960.0,https://pypi.org/project/jellyfish,2024-12-14 19:43:04.000,276.0,6402385.0,6423626.0,https://anaconda.org/conda-forge/jellyfish,2024-12-17 14:25:05.549,1147028.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +205,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-12-13 18:16:32.000000,2024-12-13 18:16:32,3772.0,18.0,193.0,49.0,1404.0,134.0,743.0,2012.0,Ahead of Time compiler for numeric kernels.,73.0,33,True,2024-10-31 09:34:16.000,0.17.0,62.0,pythran,conda-forge/pythran,,,,2966.0,2945.0,https://pypi.org/project/pythran,2024-10-31 09:34:16.000,21.0,363368.0,379019.0,https://anaconda.org/conda-forge/pythran,2024-11-23 00:50:33.170,798249.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +206,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-12-20 08:51:20.189000,2018-10-12 15:53:05,1251.0,,284.0,50.0,160.0,114.0,219.0,1630.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,12859.0,12647.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,980666.0,1136488.0,https://anaconda.org/conda-forge/geocoder,2024-12-20 08:51:20.189,155822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,geocoder +207,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-12-23 17:47:51.000000,2024-12-23 17:47:51,1986.0,22.0,289.0,45.0,291.0,59.0,215.0,1578.0,TensorLy: Tensor Learning in Python.,69.0,33,True,2024-11-12 14:54:17.000,0.9.0,21.0,tensorly,conda-forge/tensorly,,,,948.0,849.0,https://pypi.org/project/tensorly,2024-11-12 14:54:17.000,99.0,83460.0,90875.0,https://anaconda.org/conda-forge/tensorly,2024-06-10 02:35:16.323,370767.0,,,,,2.0,2.0,,,,,,,,,,,,,,,,,,, +208,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-12-16 09:24:29.167000,2024-12-05 15:39:58,1196.0,3.0,363.0,68.0,616.0,300.0,361.0,1498.0,A Jupyter - Leaflet.js bridge.,91.0,33,True,2024-07-22 08:02:59.000,0.19.2,84.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],13550.0,13266.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,212252.0,242212.0,https://anaconda.org/conda-forge/ipyleaflet,2024-12-16 09:24:29.167,1331301.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,5755.0,,,,,,,,,,,, +209,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-12-19 14:07:37.000000,2024-12-19 12:37:00,1874.0,2.0,200.0,33.0,215.0,26.0,403.0,1421.0,The ctypes-based simple ImageMagick binding for Python.,107.0,33,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,20335.0,20078.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,992879.0,995047.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,93606.0,,,,,2.0,,51601.0,,,,,,,,,,,,,,,,,, +210,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-12-23 12:02:10.000000,2024-12-23 12:02:10,2932.0,28.0,248.0,35.0,234.0,48.0,514.0,1331.0,Python interface for igraph.,77.0,33,False,2024-10-28 12:53:42.000,0.11.8,43.0,python-igraph,conda-forge/igraph,,,,4673.0,4267.0,https://pypi.org/project/python-igraph,2024-10-28 12:53:42.000,406.0,295918.0,314522.0,https://anaconda.org/conda-forge/igraph,2024-12-13 22:28:15.458,660934.0,,,,,1.0,,565896.0,,,,,,,,,,,,,,,,,, +211,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-12-18 19:30:47.000000,2024-12-18 18:28:20,11612.0,45.0,246.0,55.0,12342.0,251.0,2220.0,985.0,Cloud-native genomic dataframes and batch computing.,97.0,33,True,2024-10-04 20:34:16.000,0.2.133,155.0,hail,,,,['spark'],187.0,153.0,https://pypi.org/project/hail,2024-10-04 20:34:16.000,34.0,289540.0,289540.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +212,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-10-29 16:47:11.000000,2024-10-29 16:47:10,533.0,2.0,2857.0,386.0,125.0,239.0,561.0,26091.0,Deezer source separation library including pretrained models.,21.0,32,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],866.0,854.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,12.0,26010.0,86357.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,99620.0,,,,,2.0,,3640306.0,,,,,,,,,,,,,,,,,, +213,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-12-21 01:43:57.000000,2024-12-21 01:43:50,336.0,15.0,3110.0,156.0,56.0,137.0,142.0,21213.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,32,True,2024-12-21 01:31:54.000,1.9.0,213.0,vit-pytorch,,,,['pytorch'],587.0,570.0,https://pypi.org/project/vit-pytorch,2024-12-21 01:31:54.000,17.0,23278.0,23278.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4706.0,1016.0,1869.0,363.0,658.0,17861.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1029.0,1019.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2284.0,2466.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,9298.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +215,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3508.0,469.0,671.0,590.0,672.0,15669.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1534.0,1520.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,8035.0,8035.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +216,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1137.0,340.0,1683.0,523.0,1294.0,11201.0,Turi Create simplifies the development of custom machine learning models.,88.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,390.0,385.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,20934.0,21067.0,,,,,,,,3.0,,11175.0,,,,,,,,,,,,,,,,,, +217,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2091.0,283.0,3401.0,51.0,1494.0,10496.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,219.0,32,False,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],270.0,261.0,https://pypi.org/project/parlai,2023-06-06 20:46:16.091,9.0,3316.0,3316.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +218,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2024-12-17 13:39:23.257000,2021-09-09 20:54:41,384.0,,876.0,259.0,148.0,107.0,104.0,9231.0,Fuzzy String Matching in Python.,70.0,32,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,7386607.0,7398325.0,https://anaconda.org/conda-forge/fuzzywuzzy,2024-12-17 13:39:23.257,574200.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +219,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-12-16 18:00:41.000000,2024-12-16 18:00:41,1394.0,3.0,1399.0,301.0,897.0,145.0,760.0,9177.0,AutoML library for deep learning.,145.0,32,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],796.0,783.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,24117.0,24341.0,,,,,,,,2.0,,19072.0,,,,,,,,,,,,,,,,,, +220,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-12-18 15:30:29.916000,2024-12-04 03:39:13,2498.0,6.0,987.0,201.0,2330.0,261.0,847.0,8612.0,Deep universal probabilistic programming with Python and PyTorch.,158.0,32,True,2024-06-02 00:37:37.000,1.9.1,36.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,286243.0,290930.0,https://anaconda.org/conda-forge/pyro-ppl,2024-12-18 15:30:29.916,210949.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +221,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-11-19 20:01:46.000000,2024-11-19 20:01:46,563.0,3.0,1215.0,172.0,438.0,68.0,474.0,8497.0,Automatic extraction of relevant features from time series:.,98.0,32,True,2024-08-03 20:51:43.000,0.20.3,32.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],114.0,21.0,https://pypi.org/project/tsfresh,2024-08-03 20:51:43.000,93.0,241589.0,267234.0,https://anaconda.org/conda-forge/tsfresh,2024-08-04 02:13:02.666,1410520.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +222,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-12-24 10:57:43.000000,2024-12-24 10:57:43,1276.0,32.0,893.0,62.0,1052.0,245.0,1354.0,8182.0,A python library for user-friendly forecasting and anomaly detection on time series.,125.0,32,True,2024-12-21 13:55:22.000,0.32.0,45.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,10.0,,https://pypi.org/project/u8darts,2024-12-21 13:55:22.000,10.0,81361.0,82963.0,https://anaconda.org/conda-forge/u8darts-all,2024-12-21 20:33:58.556,65174.0,https://hub.docker.com/r/unit8/darts,2024-12-21 13:46:49.864126,,1037.0,2.0,,,,,,,,,,,,,,,,,,,, +223,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-06-27 17:56:28.000000,2024-06-27 17:56:21,2895.0,,2243.0,178.0,1152.0,27.0,1429.0,6798.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,192.0,32,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],327.0,304.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,14756.0,14756.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1811.0,196.0,206.0,13.0,1343.0,6303.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,False,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1671.0,1653.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,13256.0,13572.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,11956.0,,,,,3.0,,187.0,,,,,,,,,,,,,,,,,, +225,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-12-23 21:01:14.000000,2024-11-22 18:31:49,630.0,9.0,722.0,109.0,197.0,9.0,356.0,5928.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,32,True,2024-08-16 02:36:10.000,0.3.13,28.0,pytesseract,conda-forge/pytesseract,,,,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,2383368.0,2395417.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,638610.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +226,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-12-25 20:02:14.000000,2024-12-18 16:11:43,2234.0,23.0,321.0,45.0,2211.0,383.0,669.0,5289.0,Aim An easy-to-use & supercharged open-source experiment tracker.,78.0,32,True,2024-12-18 16:58:41.000,3.27.0,1180.0,aim,conda-forge/aim,,,,807.0,767.0,https://pypi.org/project/aim,2024-12-18 16:21:21.000,40.0,116571.0,118787.0,https://anaconda.org/conda-forge/aim,2024-06-14 16:22:37.168,90864.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-12-06 08:29:55.000000,2024-12-06 08:26:00,3944.0,32.0,552.0,85.0,635.0,122.0,500.0,5137.0,Online machine learning in Python.,124.0,32,True,2024-11-25 23:59:25.000,0.22.0,23.0,river,conda-forge/river,,,,676.0,612.0,https://pypi.org/project/river,2024-11-25 23:28:09.000,64.0,82001.0,84085.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,91723.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +228,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-11-20 21:17:10.552000,2024-06-17 19:23:44,491.0,,660.0,66.0,228.0,245.0,164.0,4454.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,32,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,7494.0,7360.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,134.0,671322.0,677069.0,https://anaconda.org/conda-forge/hnswlib,2024-11-20 21:17:10.552,275903.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-11-26 07:16:52.000000,2024-11-26 07:14:46,1352.0,4.0,383.0,70.0,376.0,103.0,460.0,4270.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",106.0,32,True,2024-11-26 07:16:52.000,0.8.7,31.0,sacred,conda-forge/sacred,,,,3383.0,3323.0,https://pypi.org/project/sacred,2024-11-26 07:16:52.000,60.0,91159.0,91359.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,7420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +230,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-12-16 16:44:42.000000,2024-12-16 16:44:42,1305.0,8.0,2506.0,1942.0,539.0,390.0,1078.0,4127.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,32,True,2024-10-16 17:44:34.000,1.58.0,106.0,azureml-sdk,,,,,31.0,,https://pypi.org/project/azureml-sdk,2024-12-10 14:48:18.000,31.0,304518.0,304526.0,,,,,,,,2.0,,660.0,,,,,,,,,,,,,,,,,, +231,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-12-26 08:59:46.000000,2024-12-26 08:59:46,1926.0,25.0,633.0,45.0,924.0,491.0,312.0,4047.0,Time series forecasting with PyTorch.,59.0,32,True,2024-11-19 17:01:21.000,1.2.0,37.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,480.0,458.0,https://pypi.org/project/pytorch-forecasting,2024-11-19 17:01:21.000,22.0,60307.0,61661.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,69080.0,,,,,2.0,,,sktime/pytorch-forecasting,,,,,,,,,,,,,,,,, +232,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-12-21 13:31:00.768000,2024-11-17 17:28:27,1360.0,5.0,321.0,59.0,248.0,70.0,450.0,3695.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,41.0,32,True,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy,conda-forge/stumpy,,,,1015.0,985.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,297116.0,316504.0,https://anaconda.org/conda-forge/stumpy,2024-12-21 13:31:00.768,1046971.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +233,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-10-09 16:24:11.000000,2024-10-09 16:24:08,1187.0,1.0,1662.0,156.0,210.0,13.0,693.0,3493.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,32,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,1984007.0,1986130.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,110430.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +234,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-12-23 12:30:00.000000,2024-12-23 12:29:58,1311.0,58.0,285.0,29.0,1175.0,73.0,515.0,3224.0,A python library for self-supervised learning on images.,60.0,32,True,2024-11-29 08:09:44.000,1.5.15,129.0,lightly,,,,['pytorch'],374.0,357.0,https://pypi.org/project/lightly,2024-11-29 08:09:44.000,17.0,51445.0,51445.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-12-19 20:53:17.000000,2024-12-19 20:53:16,1213.0,26.0,366.0,36.0,553.0,117.0,462.0,3207.0,Scalable and user friendly neural forecasting algorithms.,48.0,32,True,2024-12-16 22:41:41.000,1.7.7,28.0,neuralforecast,conda-forge/neuralforecast,,,,297.0,276.0,https://pypi.org/project/neuralforecast,2024-12-16 22:41:41.000,21.0,59853.0,60681.0,https://anaconda.org/conda-forge/neuralforecast,2024-12-17 13:54:40.198,27329.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-12-23 08:50:11.458000,2024-12-17 12:15:00,997.0,11.0,233.0,37.0,557.0,72.0,177.0,2928.0,JAX-based neural network library.,84.0,32,True,2024-10-16 09:11:35.000,0.0.13,16.0,dm-haiku,conda-forge/dm-haiku,,,,2388.0,2213.0,https://pypi.org/project/dm-haiku,2024-10-16 09:11:35.000,175.0,221923.0,222488.0,https://anaconda.org/conda-forge/dm-haiku,2024-12-23 08:50:11.458,25994.0,,,,,3.0,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,, +237,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-06-05 12:17:25.116000,2021-10-12 13:32:38,1570.0,,545.0,63.0,546.0,318.0,393.0,2750.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-06-04 19:12:54.000,0.10.2,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,7458.0,7090.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,840758.0,855318.0,https://anaconda.org/conda-forge/scikit-optimize,2024-06-05 12:17:25.116,757120.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +238,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2024-12-20 13:40:43.289000,2024-10-01 21:19:30,966.0,9.0,395.0,39.0,152.0,46.0,248.0,2418.0,A library of sklearn compatible categorical variable encoders.,70.0,32,True,2024-10-01 21:24:24.000,2.6.4,33.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2720.0,2436.0,https://pypi.org/project/category_encoders,2024-10-01 21:24:24.000,284.0,1447189.0,1454945.0,https://anaconda.org/conda-forge/category_encoders,2024-12-20 13:40:43.289,294747.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +239,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-12-25 14:02:36.000000,2024-12-24 21:06:31,1873.0,270.0,208.0,48.0,295.0,180.0,165.0,2193.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",45.0,32,True,2024-12-24 20:35:51.000,0.35.3,198.0,graphistry,,,,['jupyter'],134.0,128.0,https://pypi.org/project/graphistry,2024-12-24 20:35:51.000,6.0,16154.0,16154.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-11-05 23:42:06.000000,2024-11-05 23:42:06,1611.0,5.0,287.0,56.0,143.0,83.0,194.0,1887.0,"CUDA integration for Python, plus shiny features.",82.0,32,True,2024-07-30 16:38:24.000,2024.1.2,55.0,pycuda,conda-forge/pycuda,,,,3483.0,3326.0,https://pypi.org/project/pycuda,2024-07-30 13:53:42.000,157.0,78412.0,93444.0,https://anaconda.org/conda-forge/pycuda,2024-08-17 22:59:08.823,676470.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +241,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-12-20 16:32:22.000000,2024-12-20 16:30:05,742.0,11.0,345.0,46.0,400.0,71.0,244.0,1731.0,Training PyTorch models with differential privacy.,82.0,32,True,2024-08-03 10:32:52.000,1.5.2,24.0,opacus,conda-forge/opacus,,,['pytorch'],972.0,936.0,https://pypi.org/project/opacus,2024-08-03 10:32:52.000,36.0,90456.0,91014.0,https://anaconda.org/conda-forge/opacus,2024-08-05 12:31:17.057,19471.0,,,,,2.0,,137.0,,,,,,,,,,,,,,,,,, +242,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-12-26 11:20:29.000000,2024-12-26 11:12:18,4515.0,203.0,53.0,173.0,599.0,160.0,493.0,1600.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,32,True,2024-12-13 18:39:32.000,4.5.2,83.0,lets-plot,,,,,169.0,154.0,https://pypi.org/project/lets-plot,2024-12-17 18:17:21.000,15.0,45512.0,45535.0,,,,,,,,2.0,,1418.0,,,,,,,,,,,,,,,,,, +243,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-12-10 01:49:14.000000,2024-11-05 17:47:01,1157.0,22.0,250.0,50.0,550.0,33.0,186.0,1342.0,ARCH models in Python.,35.0,32,False,2024-11-04 16:01:44.000,7.2.0,49.0,arch,conda-forge/arch-py,,,,2378.0,2265.0,https://pypi.org/project/arch,2024-11-04 16:01:44.000,113.0,895791.0,904182.0,https://anaconda.org/conda-forge/arch-py,2024-11-05 00:36:23.711,453130.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +244,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-12-16 22:46:09.000000,2024-12-16 13:06:20,736.0,17.0,109.0,26.0,593.0,363.0,464.0,1157.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",51.0,32,True,2024-12-16 22:32:41.000,0.11.2,81.0,hvplot,conda-forge/hvplot,,,,6529.0,6311.0,https://pypi.org/project/hvplot,2024-12-16 15:36:13.000,218.0,179891.0,192697.0,https://anaconda.org/conda-forge/hvplot,2024-12-16 22:43:35.357,691531.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +245,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-12-12 15:31:23.000000,2024-12-12 15:31:13,14286.0,222.0,295.0,34.0,1924.0,499.0,685.0,1079.0,Python package for earth-observing satellite data processing.,173.0,32,False,2024-11-08 15:43:09.000,0.53.0,99.0,satpy,conda-forge/satpy,,,,185.0,154.0,https://pypi.org/project/satpy,2024-11-08 15:43:09.000,31.0,10695.0,15154.0,https://anaconda.org/conda-forge/satpy,2024-11-09 03:23:38.486,240797.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +246,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-12-22 21:30:05.000000,2024-12-22 21:30:05,14740.0,183.0,442.0,58.0,2267.0,167.0,815.0,726.0,"DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization,..",165.0,32,False,2024-12-12 17:53:19.000,1.10.0,29.0,dipy,conda-forge/dipy,,,,1445.0,1317.0,https://pypi.org/project/dipy,2024-12-12 17:53:19.000,128.0,33538.0,44160.0,https://anaconda.org/conda-forge/dipy,2024-12-13 21:19:52.949,541750.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +247,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-12-17 17:34:12.000000,2024-12-15 00:03:38,17327.0,45.0,111.0,28.0,3628.0,535.0,3417.0,550.0,"Keep code, data, containers under control with git and git-annex.",57.0,32,True,2024-12-15 00:03:47.000,1.1.5,121.0,datalad,conda-forge/datalad,,,,542.0,443.0,https://pypi.org/project/datalad,2024-12-15 00:03:47.000,99.0,17777.0,30665.0,https://anaconda.org/conda-forge/datalad,2024-11-20 02:36:29.417,695993.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-12-26 07:56:42.000000,2024-12-26 07:56:41,2006.0,11.0,2682.0,301.0,951.0,249.0,695.0,15839.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",134.0,31,True,2024-12-23 07:36:40.000,0.9.6,35.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-12-23 07:38:34.000,1.0,4954.0,4968.0,,,,,,,,2.0,2.0,744.0,,,,,,,,,,,,,,,,,, +249,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,,1816.0,284.0,3507.0,417.0,1684.0,14082.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,31,False,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,18591.0,18591.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2024-08-07 03:17:23.000000,2024-08-07 03:17:23,2667.0,,2074.0,183.0,1006.0,574.0,727.0,12770.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",70.0,31,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1808.0,1801.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,5732.0,5744.0,,,,,,,,2.0,,837.0,,,,,,,,,,,,,,,,,, +251,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-12-24 00:26:28.000000,2024-12-13 11:42:35,2969.0,10.0,2423.0,209.0,482.0,246.0,479.0,10292.0,FinRL: Financial Reinforcement Learning.,119.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,57.0,57.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1369.0,1369.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +252,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-11-14 10:24:59.000000,2024-11-14 10:24:54,866.0,2.0,1299.0,423.0,90.0,32.0,161.0,9795.0,TensorFlow-based neural network library.,59.0,31,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1386.0,1367.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,17992.0,18603.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,37329.0,,,,,3.0,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,, +253,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-07-25 10:51:05.000000,2024-02-23 19:03:07,2440.0,,1572.0,289.0,434.0,295.0,639.0,9784.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,31,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],3185.0,3147.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,38.0,41551.0,46747.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,280635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2410.0,456.0,263.0,579.0,364.0,9620.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5087.0,5073.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,3840.0,3840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +255,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-12-14 07:09:35.000000,2024-12-14 07:09:34,1196.0,11.0,1401.0,100.0,670.0,735.0,528.0,8473.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,130.0,31,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2898.0,2898.0,,,,,7644.0,https://anaconda.org/conda-forge/nvidia-apex,2024-11-04 08:44:59.011,382231.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +256,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2024-11-29 14:40:31.000000,2023-04-18 11:08:13,2759.0,,1282.0,214.0,725.0,201.0,829.0,7671.0,Automated Machine Learning with scikit-learn.,88.0,31,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],665.0,631.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,15285.0,15914.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,27697.0,,,,,2.0,,68.0,,,,,,,,,,,,,,,,,, +257,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-12-19 19:04:01.000000,2024-11-13 18:39:43,1380.0,1.0,878.0,159.0,1733.0,154.0,865.0,7319.0,An open source python library for automated feature engineering.,74.0,31,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,1933.0,1859.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,59633.0,63745.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,222068.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-12-19 14:28:40.998000,2024-11-26 20:42:35,3285.0,2.0,959.0,139.0,669.0,55.0,1165.0,7257.0,Python library for audio and music analysis.,124.0,31,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,1358.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1358.0,2787836.0,2803761.0,https://anaconda.org/conda-forge/librosa,2024-12-19 14:28:40.998,844075.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +259,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-11-26 06:34:46.000000,2024-11-26 06:34:41,2711.0,1.0,1151.0,211.0,1052.0,27.0,615.0,6755.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,31,True,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov,,,,['tensorflow'],426.0,422.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,11279.0,11279.0,,,,,,,,2.0,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,, +260,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-12-19 13:11:58.000000,2024-12-19 13:11:55,1097.0,3.0,390.0,81.0,545.0,61.0,460.0,5922.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,31,True,2024-05-27 15:25:43.000,1.0.0,20.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1582.0,1497.0,https://pypi.org/project/skorch,2024-05-27 15:23:17.000,85.0,160059.0,175556.0,https://anaconda.org/conda-forge/skorch,2024-05-30 08:55:05.943,790372.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +261,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1760.0,305.0,296.0,161.0,267.0,5757.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1130.0,1116.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,8893.0,9068.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,14377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2024-11-21 20:20:09.000000,2024-11-21 20:19:33,250.0,2.0,930.0,127.0,40.0,75.0,147.0,5680.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,31,True,2024-11-21 20:20:09.000,0.2.5,9.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],4417.0,4301.0,https://pypi.org/project/torchdiffeq,2024-11-21 20:20:09.000,116.0,786735.0,787081.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,19050.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +263,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-12-23 19:45:58.000000,2024-12-13 16:40:15,828.0,15.0,407.0,74.0,304.0,62.0,531.0,4802.0,Visualizer for pandas data structures.,30.0,31,True,2024-12-13 16:37:39.000,3.16.1,190.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1351.0,1303.0,https://pypi.org/project/dtale,2024-12-13 16:37:39.000,48.0,73925.0,80567.0,https://anaconda.org/conda-forge/dtale,2024-12-13 17:33:14.415,365311.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +264,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-12-24 21:30:08.000000,2024-12-24 21:30:05,15605.0,64.0,536.0,78.0,3698.0,919.0,1627.0,4309.0,cuML - RAPIDS Machine Learning Library.,178.0,31,True,2024-12-11 21:41:19.000,24.12.00,43.0,cuml,,,,,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,3833.0,3833.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-12-18 23:54:59.385000,2024-12-12 13:55:22,3907.0,8.0,562.0,58.0,922.0,380.0,982.0,3612.0,A highly efficient implementation of Gaussian Processes in PyTorch.,136.0,31,True,2024-09-06 21:42:56.000,1.13,41.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2710.0,2541.0,https://pypi.org/project/gpytorch,2024-09-06 21:48:53.000,169.0,235596.0,239011.0,https://anaconda.org/conda-forge/gpytorch,2024-12-18 23:54:59.385,187872.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +266,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-09-21 03:01:04.000000,2024-09-21 03:01:04,1581.0,,450.0,93.0,127.0,92.0,348.0,3438.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,31,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1325.0,1262.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,492054.0,495388.0,https://anaconda.org/conda-forge/nmslib,2024-09-09 06:18:10.925,166724.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,184.0,737.0,277.0,669.0,3426.0,DyNet: The Dynamic Neural Network Toolkit.,161.0,31,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,286.0,268.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,146621.0,146803.0,,,,,,,,3.0,,17858.0,,,,,,,,,,,,,,,,,, +268,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,628.0,78.0,80.0,74.0,162.0,3407.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,7990.0,7870.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,2471009.0,2473949.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,264636.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +269,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-11-26 20:47:58.000000,2024-05-03 16:54:19,704.0,,281.0,50.0,828.0,103.0,285.0,3215.0,PyTorch extensions for high performance and large scale training.,75.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],7240.0,7087.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,391252.0,400921.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,357789.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-10-31 19:43:08.823000,2024-10-31 09:14:19,481.0,3.0,739.0,123.0,130.0,71.0,375.0,3087.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,31,True,2024-10-31 09:03:22.000,0.3.3,14.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],3075.0,2983.0,https://pypi.org/project/hmmlearn,2024-10-31 09:03:22.000,92.0,342886.0,349023.0,https://anaconda.org/conda-forge/hmmlearn,2024-10-31 19:43:08.823,312992.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-12-25 16:57:33.423000,2024-06-24 17:09:39,1087.0,,397.0,61.0,498.0,221.0,273.0,2862.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],4977.0,4862.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,375418.0,376542.0,https://anaconda.org/conda-forge/keras-tuner,2024-12-25 16:57:33.423,44982.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-12-09 15:46:12.000000,2024-12-09 15:31:38,1700.0,53.0,335.0,37.0,367.0,38.0,185.0,2754.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,40.0,31,True,2024-12-09 15:46:12.000,2.7.5,48.0,shapash,,,,['jupyter'],189.0,185.0,https://pypi.org/project/shapash,2024-12-09 15:46:12.000,4.0,13615.0,13615.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +273,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-12-14 20:51:53.000000,2024-12-09 12:56:45,2995.0,79.0,1007.0,123.0,544.0,61.0,304.0,2596.0,IPython Parallel: Interactive Parallel Computing in Python.,114.0,31,False,2024-11-06 12:07:08.000,9.0.0,48.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],112.0,,https://pypi.org/project/ipyparallel,2024-11-06 12:07:08.000,112.0,462436.0,485774.0,https://anaconda.org/conda-forge/ipyparallel,2024-12-06 14:00:08.619,1166941.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +274,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-12-19 19:53:58.719000,2024-10-30 12:23:10,890.0,3.0,361.0,82.0,169.0,218.0,149.0,2364.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,53.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6983.0,6828.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,311261.0,316144.0,https://anaconda.org/conda-forge/mpld3,2024-12-19 19:53:58.719,217087.0,,,,,3.0,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,863.0,,,,,,,,,,,, +275,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-12-13 23:32:03.470000,2024-12-13 23:28:41,1961.0,66.0,149.0,29.0,372.0,64.0,112.0,2357.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",58.0,31,True,2024-12-13 23:32:03.470,2.16.7,133.0,usearch,,unum/usearch,,,185.0,147.0,https://pypi.org/project/usearch,2024-11-21 10:00:25.000,23.0,257038.0,266507.0,,,,https://hub.docker.com/r/unum/usearch,2024-11-21 09:01:45.281389,1.0,169.0,2.0,,39862.0,,usearch,https://www.npmjs.com/package/usearch,2024-12-13 23:32:03.470,15.0,7248.0,,,,,,,,,,,, +276,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-12-24 12:07:59.000000,2024-12-24 11:57:39,965.0,20.0,145.0,25.0,444.0,168.0,315.0,2164.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,57.0,31,True,2024-12-24 12:08:00.000,0.11.11,55.0,equinox,,,,['jax'],1096.0,896.0,https://pypi.org/project/equinox,2024-12-24 12:07:52.000,200.0,292858.0,292858.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +277,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-09-17 00:19:55.000000,2024-09-17 00:19:55,953.0,,260.0,47.0,354.0,220.0,141.0,2076.0,Evaluate: A library for easily evaluating machine learning models and datasets.,129.0,31,True,2024-09-11 10:17:30.000,0.4.3,16.0,evaluate,,,,,16089.0,15686.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2498970.0,2498970.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-12-26 11:34:45.000000,2024-12-25 08:55:53,2294.0,167.0,445.0,34.0,2468.0,322.0,122.0,1986.0,Pytorch domain library for recommendation systems.,307.0,31,True,2024-10-21 22:05:16.000,1.0.0-rc3,77.0,torchrec-nightly-cpu,,,,,164.0,164.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,16815.0,16815.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +279,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-11-10 13:22:24.000000,2024-11-10 13:22:22,2896.0,41.0,188.0,27.0,732.0,114.0,462.0,1716.0,A Python library for learning and evaluating knowledge graph embeddings.,41.0,31,True,2024-10-29 16:35:05.000,1.11.0,49.0,pykeen,,,,,283.0,264.0,https://pypi.org/project/pykeen,2024-10-29 16:25:52.000,19.0,14118.0,14122.0,,,,,,,,2.0,,229.0,,,,,,,,,,,,,,,,,, +280,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-09-03 20:56:01.000000,2024-04-15 22:25:34,1519.0,,612.0,57.0,1884.0,92.0,899.0,1694.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,31,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],371.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,371.0,1199553.0,1199553.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +281,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-11-13 21:41:20.000000,2024-11-07 23:05:03,1082.0,2.0,234.0,37.0,256.0,65.0,274.0,1607.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,31,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,10362.0,10209.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2463833.0,2488373.0,https://anaconda.org/conda-forge/pmdarima,2024-07-14 16:03:51.778,1227003.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-12-24 22:43:41.000000,2024-12-24 22:41:11,1629.0,23.0,171.0,18.0,858.0,110.0,457.0,1377.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,109.0,31,True,2024-12-04 19:50:34.000,0.30.0,66.0,pyjanitor,conda-forge/pyjanitor,,,,817.0,781.0,https://pypi.org/project/pyjanitor,2024-12-04 19:50:29.000,36.0,84750.0,88873.0,https://anaconda.org/conda-forge/pyjanitor,2024-12-05 10:07:32.356,226766.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/skforecast/skforecast,https://github.com/skforecast/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-12-26 09:11:22.000000,2024-11-28 09:24:18,4025.0,363.0,142.0,9.0,689.0,22.0,163.0,1199.0,Time series forecasting with machine learning models.,17.0,31,True,2024-11-11 13:34:47.000,0.14.0,29.0,skforecast,,,,['sklearn'],393.0,378.0,https://pypi.org/project/skforecast,2024-11-11 13:34:47.000,15.0,92491.0,92491.0,,,,,,,,2.0,,,skforecast/skforecast,,,,,,,,,,,,,,,,, +284,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-12-21 22:51:16.000000,2024-11-27 19:10:03,1176.0,33.0,216.0,23.0,160.0,30.0,205.0,1149.0,Survival analysis built on top of scikit-learn.,22.0,31,False,2024-11-04 10:57:40.000,0.23.1,30.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],711.0,674.0,https://pypi.org/project/scikit-survival,2024-11-04 10:57:40.000,37.0,197981.0,202666.0,https://anaconda.org/conda-forge/scikit-survival,2024-11-04 14:21:17.242,173365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +285,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-12-16 21:37:29.000000,2024-12-16 21:37:28,3393.0,19.0,242.0,50.0,415.0,76.0,282.0,1073.0,"OpenCL integration for Python, plus shiny features.",96.0,31,True,2024-10-18 17:14:33.000,2024.3,103.0,pyopencl,conda-forge/pyopencl,,,,2273.0,2099.0,https://pypi.org/project/pyopencl,2024-10-18 17:25:30.000,174.0,77660.0,103755.0,https://anaconda.org/conda-forge/pyopencl,2024-10-22 02:56:13.460,1409163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +286,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-12-22 16:30:21.524000,2024-12-21 19:30:30,501.0,6.0,122.0,32.0,133.0,24.0,77.0,927.0,Python bindings and utilities for GeoJSON.,58.0,31,True,2024-12-21 19:35:29.000,3.2.0,32.0,geojson,conda-forge/geojson,,,,19652.0,18929.0,https://pypi.org/project/geojson,2024-12-21 19:35:29.000,723.0,2437741.0,2478293.0,https://anaconda.org/conda-forge/geojson,2024-12-22 16:30:21.524,892145.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +287,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-12-20 23:24:56.000000,2024-12-20 05:32:33,176529.0,1726.0,95.0,51.0,2414.0,69.0,310.0,688.0,TensorFlow ROCm port.,4743.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,6672.0,6672.0,,,,,,,,3.0,,26.0,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,, +288,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2024-12-16 17:14:39.000000,2024-12-16 15:32:53,605.0,12.0,38.0,10.0,77.0,11.0,26.0,221.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,14.0,31,False,2024-12-16 11:14:25.000,1.1.0,52.0,blis,conda-forge/cython-blis,,,,53797.0,53687.0,https://pypi.org/project/blis,2024-12-16 11:14:25.000,110.0,11934482.0,11980818.0,https://anaconda.org/conda-forge/cython-blis,2024-10-23 06:29:06.515,2362744.0,,,,,2.0,,568.0,,,,,,,,,,,,,,,,,, +289,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-12-24 12:51:38.000000,2024-12-03 04:02:11,2300.0,15.0,2890.0,198.0,3773.0,1260.0,4248.0,12941.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",181.0,30,True,2024-11-08 02:50:05.000,2.8.0,10.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,501.0,501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-12-26 11:09:17.000000,2024-12-26 11:09:16,1748.0,8.0,751.0,88.0,811.0,111.0,286.0,9841.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",53.0,30,False,2024-09-26 16:50:26.000,2.7.0,32.0,cleanlab,conda-forge/cleanlab,,,,435.0,417.0,https://pypi.org/project/cleanlab,2024-09-26 16:50:26.000,18.0,39676.0,40452.0,https://anaconda.org/conda-forge/cleanlab,2024-06-26 17:29:18.404,34161.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-08-03 09:45:20.000000,2024-02-20 22:38:05,385.0,,2158.0,290.0,98.0,311.0,446.0,8680.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1738.0,1719.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,8988.0,21029.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,8441.0,,,,,2.0,,950568.0,,,,,,,,,,,,,,,,,, +292,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-11-25 15:30:52.000000,2023-01-19 00:37:33,900.0,,1216.0,153.0,954.0,60.0,788.0,5853.0,Gluon CV Toolkit.,119.0,30,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,71415.0,71415.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-07-28 06:06:31.000000,2024-06-24 00:50:16,586.0,,1081.0,111.0,259.0,107.0,500.0,5581.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],4636.0,4494.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,142.0,159007.0,159609.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,22878.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +294,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-12-13 20:29:50.000000,2024-12-13 20:29:18,629.0,10.0,776.0,86.0,358.0,54.0,348.0,5154.0,Uplift modeling and causal inference with machine learning algorithms.,64.0,30,True,2024-10-01 06:25:01.000,0.15.2,25.0,causalml,,,,,239.0,237.0,https://pypi.org/project/causalml,2024-10-01 06:25:01.000,2.0,35396.0,35396.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +295,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2024-12-11 11:18:25.000000,2024-12-11 11:18:25,926.0,8.0,634.0,149.0,799.0,141.0,356.0,4796.0,Deep Learning Visualization Toolkit.,36.0,30,True,2024-10-30 02:46:42.000,3.0.0-beta,44.0,visualdl,,,,['paddle'],84.0,2.0,https://pypi.org/project/visualdl,2024-10-30 02:50:36.000,82.0,234162.0,234170.0,,,,,,,,2.0,,480.0,,,,,,,,,,,,,,,,,, +296,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-12-16 22:42:59.295000,2024-11-05 15:19:52,1478.0,5.0,760.0,77.0,1823.0,325.0,637.0,4690.0,Probabilistic time series modeling in Python.,117.0,30,True,2024-11-11 08:51:05.000,0.16.0,112.0,gluonts,anaconda/gluonts,,,['mxnet'],33.0,,https://pypi.org/project/gluonts,2024-11-11 08:51:05.000,33.0,585962.0,585994.0,https://anaconda.org/anaconda/gluonts,2024-12-16 22:42:59.295,1216.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +297,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-06-24 13:34:47.000000,2022-01-27 13:24:16,139.0,,1026.0,152.0,116.0,162.0,79.0,4546.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,30,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,48840.0,48405.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,427209.0,431099.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,206204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2024-12-23 15:30:17.782000,2022-07-07 05:16:43,738.0,,463.0,42.0,126.0,76.0,154.0,4481.0,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1564.0,1499.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,192880.0,193576.0,https://anaconda.org/conda-forge/nlpaug,2024-12-23 15:30:17.782,29247.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +299,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-07-17 04:40:56.000000,2023-11-02 13:49:44,662.0,,953.0,152.0,132.0,139.0,104.0,4416.0,Technical Analysis Library using Pandas and Numpy.,34.0,30,False,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,5013.0,4906.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,176151.0,176838.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,31646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +300,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-11-25 02:57:39.000000,2024-11-01 16:12:42,3332.0,1.0,551.0,120.0,386.0,77.0,743.0,4184.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,30,True,2024-08-15 14:31:34.000,3.0.3,179.0,dedupe,conda-forge/dedupe,,,,365.0,346.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,89481.0,91918.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,87742.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +301,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-12-25 13:43:02.087000,2024-01-12 14:48:30,249.0,,283.0,44.0,51.0,28.0,97.0,4101.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,6637.0,6487.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,566231.0,572282.0,https://anaconda.org/conda-forge/gpustat,2024-12-25 13:43:02.087,296541.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-12-20 15:28:08.000000,2024-12-20 15:21:31,925.0,44.0,447.0,43.0,1020.0,27.0,352.0,4078.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",55.0,30,True,2024-10-21 08:40:28.000,0.10.0,17.0,python-doctr,,,,"['tensorflow', 'pytorch']",12.0,,https://pypi.org/project/python-doctr,2024-10-21 08:40:28.000,12.0,38546.0,137140.0,,,,,,,,2.0,,4535342.0,,,,,,,,,,,,,,,,,, +303,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-12-14 01:17:03.000000,2024-12-14 01:16:55,1262.0,25.0,498.0,67.0,773.0,5.0,559.0,3830.0,On-device wake word detection powered by deep learning.,40.0,30,True,2024-08-27 00:05:29.000,3.0.3,35.0,pvporcupine,,,,,71.0,36.0,https://pypi.org/project/pvporcupine,2024-08-27 00:05:29.000,35.0,10531.0,10531.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-12-24 14:19:50.859000,2024-10-22 15:05:01,3667.0,4.0,466.0,102.0,1067.0,271.0,368.0,3638.0,Plotting library for IPython/Jupyter notebooks.,65.0,30,True,2024-12-24 14:19:50.859,0.5.45,113.0,bqplot,conda-forge/bqplot,,,['jupyter'],186.0,59.0,https://pypi.org/project/bqplot,2024-12-24 14:19:25.000,106.0,180992.0,210489.0,https://anaconda.org/conda-forge/bqplot,2024-12-16 10:22:21.065,1446196.0,,,,,3.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-12-24 14:19:50.859,21.0,3203.0,,,,,,,,,,,, +305,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2024-12-22 10:12:57.197000,2024-10-09 08:38:39,344.0,2.0,337.0,65.0,78.0,20.0,124.0,3452.0,A Python Perceptual Image Hashing Module.,27.0,30,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,15514.0,15272.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,242.0,1389029.0,1397458.0,https://anaconda.org/conda-forge/imagehash,2024-12-22 10:12:57.197,413032.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-12-26 08:07:43.000000,2024-12-12 01:51:50,8382.0,152.0,357.0,84.0,9840.0,97.0,349.0,3066.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",121.0,30,True,2024-11-22 21:17:18.000,0.38.0,601.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-11-22 21:35:10.000,4.0,18085.0,18343.0,,,,,,,,3.0,,11620.0,,,,,,,,,,,,,,,,,, +307,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-11-04 00:31:30.000000,2024-11-03 09:05:19,317.0,65.0,346.0,29.0,339.0,95.0,40.0,3042.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,18.0,30,True,2024-11-02 17:52:58.000,0.2.14-alpha.1,15.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],1186.0,1180.0,https://pypi.org/project/lazypredict,2024-11-02 17:53:53.000,6.0,17288.0,17385.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,3903.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-07-26 07:25:11.554000,2024-07-01 04:53:53,1639.0,,342.0,60.0,194.0,139.0,197.0,2927.0,The machine learning toolkit for time series analysis in Python.,43.0,30,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1638.0,1559.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,384871.0,412143.0,https://anaconda.org/conda-forge/tslearn,2024-07-26 07:25:11.554,1472707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-12-01 14:51:06.000000,2024-12-01 14:50:58,561.0,6.0,428.0,92.0,119.0,78.0,265.0,2318.0,bt - flexible backtesting for Python.,34.0,30,True,2024-08-06 13:46:05.000,1.1.0,28.0,bt,conda-forge/bt,,,,1647.0,1637.0,https://pypi.org/project/bt,2024-08-06 00:08:14.000,10.0,7307.0,8583.0,https://anaconda.org/conda-forge/bt,2024-09-21 21:55:35.462,56156.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-11-25 08:44:55.000000,2024-11-25 08:44:55,211.0,1.0,254.0,56.0,79.0,52.0,232.0,2028.0,A Python wrapper for the tesseract-ocr API.,30.0,30,True,2024-08-26 20:21:57.000,2.7.1,22.0,tesserocr,conda-forge/tesserocr,,,,1183.0,1147.0,https://pypi.org/project/tesserocr,2024-08-26 20:21:57.000,36.0,77512.0,81437.0,https://anaconda.org/conda-forge/tesserocr,2024-09-13 13:36:57.070,207729.0,,,,,2.0,,710.0,,,,,,,,,,,,,,,,,, +311,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-12-17 11:38:14.000000,2024-12-17 11:38:14,920.0,41.0,425.0,39.0,954.0,160.0,333.0,1979.0,A Python package to assess and improve fairness of machine learning models.,91.0,30,True,2024-12-11 12:38:14.000,0.12.0,22.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],66.0,3.0,https://pypi.org/project/fairlearn,2024-12-11 11:29:34.000,63.0,401547.0,402344.0,https://anaconda.org/conda-forge/fairlearn,2024-12-13 09:00:20.394,39062.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-12-09 11:19:11.000000,2024-12-09 11:19:06,1278.0,42.0,193.0,21.0,181.0,49.0,140.0,1911.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,30.0,30,True,2024-12-06 14:37:11.000,0.38.0,42.0,audiomentations,,,,,661.0,640.0,https://pypi.org/project/audiomentations,2024-12-06 14:37:11.000,21.0,43916.0,43916.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-11-23 21:58:13.000000,2024-11-23 21:58:13,1066.0,4.0,228.0,52.0,213.0,32.0,292.0,1728.0,A full spaCy pipeline and models for scientific/biomedical documents.,37.0,30,True,2024-10-27 05:43:35.000,0.5.5,16.0,scispacy,,,,,1048.0,1014.0,https://pypi.org/project/scispacy,2024-10-27 05:43:35.000,34.0,21662.0,21662.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-12-08 12:55:17.000000,2024-12-08 12:55:17,1260.0,6.0,141.0,31.0,123.0,42.0,269.0,1657.0,Statistical package in Python based on Pandas.,48.0,30,False,2024-09-04 10:48:32.000,0.5.5,41.0,pingouin,conda-forge/pingouin,,,,2772.0,2616.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,133774.0,136472.0,https://anaconda.org/conda-forge/pingouin,2024-09-04 22:25:36.166,145693.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2024-11-21 00:34:31.332000,2023-09-26 23:11:11,163.0,,201.0,34.0,75.0,29.0,52.0,1594.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,30,False,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],4254.0,4217.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,1925655.0,1926344.0,https://anaconda.org/conda-forge/torchsde,2024-11-21 00:34:31.332,32421.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-12-13 20:47:09.726000,2024-12-07 19:02:56,953.0,4.0,431.0,86.0,238.0,57.0,242.0,1480.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,30,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,3152.0,2714.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,292429.0,301396.0,https://anaconda.org/conda-forge/emcee,2024-12-13 20:47:09.726,376647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +317,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-12-23 13:20:05.726000,2024-11-18 14:47:37,4368.0,5.0,302.0,79.0,672.0,18.0,634.0,1348.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,30,True,2024-07-30 17:42:50.000,24.07,41.0,pysal,conda-forge/pysal,,,,1754.0,1705.0,https://pypi.org/project/pysal,2024-07-30 17:42:53.000,49.0,32062.0,43261.0,https://anaconda.org/conda-forge/pysal,2024-12-23 13:20:05.726,593551.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +318,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-12-23 16:19:35.000000,2024-12-18 20:55:29,10809.0,24.0,251.0,40.0,1512.0,209.0,358.0,1279.0,Computations and statistics on manifolds with geometric structures.,93.0,30,True,2024-09-09 17:46:06.000,2.8.0,33.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,142.0,130.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,4001.0,4149.0,https://anaconda.org/conda-forge/geomstats,2024-09-10 11:38:37.614,4461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +319,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-12-05 02:06:57.000000,2024-11-27 18:24:47,1528.0,45.0,280.0,68.0,110.0,38.0,55.0,1258.0,Model analysis tools for TensorFlow.,59.0,30,True,2024-11-27 19:31:49.000,0.47.1,59.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",19.0,,https://pypi.org/project/tensorflow-model-analysis,2024-12-05 02:06:57.000,19.0,170605.0,170605.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +320,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-12-18 19:48:19.000000,2024-12-18 19:48:15,16703.0,50.0,379.0,45.0,1656.0,316.0,2998.0,930.0,An open-source application for biological image analysis.,145.0,30,True,2024-09-27 21:18:50.000,4.2.8,35.0,cellprofiler,,,,,28.0,26.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,1238.0,1300.0,,,,,,,,2.0,,8182.0,,,,,,,,,,,,,,,,,, +321,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-10-10 16:48:51.000000,2024-10-10 16:48:51,1966.0,3.0,235.0,19.0,301.0,53.0,286.0,892.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",48.0,30,True,2024-08-19 16:35:23.000,1.5.1,49.0,salib,conda-forge/salib,,,,1483.0,1356.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,349875.0,353806.0,https://anaconda.org/conda-forge/salib,2024-09-20 11:56:36.472,196561.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-11-20 20:11:03.000000,2024-11-20 19:38:41,1094.0,10.0,174.0,35.0,118.0,25.0,65.0,765.0,Snowball compiler and stemming algorithms.,35.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,459.0,10.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,449.0,16945258.0,17035591.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,9033301.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +323,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-12-04 06:22:16.000000,2024-12-04 06:22:16,575.0,9.0,111.0,17.0,199.0,125.0,139.0,726.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",37.0,30,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,49169.0,48389.0,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,780.0,3393282.0,3393444.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,,21107.0,,,,,,,,,,,,,,,,,, +324,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2024-12-16 11:38:25.000000,2024-12-16 11:36:24,637.0,64.0,102.0,24.0,117.0,4.0,113.0,716.0,Python library for reading audio file metadata.,27.0,30,True,2024-11-03 22:13:25.000,2.0.0,42.0,tinytag,,,,,1234.0,1121.0,https://pypi.org/project/tinytag,2024-11-03 15:25:04.000,113.0,66040.0,66040.0,,,,,,,,2.0,,,tinytag/tinytag,,,,,,,,,,,,,,,,, +325,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-12-20 19:43:57.000000,2024-07-01 21:47:36,1690.0,,288.0,42.0,1447.0,293.0,371.0,712.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",110.0,30,True,2024-07-01 23:45:56.000,0.37.1,45.0,tensorflow-io,,,,['tensorflow'],61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,965769.0,965769.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4283.0,1249.0,557.0,840.0,2543.0,17538.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,29,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,809.0,947.0,,,,,,,,3.0,,14784.0,,,,,,,,,,,,,,,,,, +327,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,,4881.0,642.0,375.0,504.0,436.0,15912.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,602.0,599.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,1491.0,1491.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +328,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1834.0,214.0,47.0,101.0,94.0,9052.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,206532.0,207392.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,46443.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-11-25 05:19:58.903000,2024-11-24 16:18:39,1063.0,25.0,935.0,140.0,758.0,135.0,348.0,7198.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,99.0,29,True,2024-11-24 07:33:52.000,0.12,16.0,dowhy,conda-forge/dowhy,,,,494.0,476.0,https://pypi.org/project/dowhy,2024-11-24 07:36:17.000,18.0,49906.0,50647.0,https://anaconda.org/conda-forge/dowhy,2024-11-25 05:19:58.903,36333.0,,,,,2.0,,42.0,,,,,,,,,,,,,,,,,, +330,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1389.0,190.0,786.0,45.0,423.0,6221.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,29,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],782.0,775.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1477.0,1655.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,9643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-12-02 21:29:39.000000,2024-12-02 21:29:38,1651.0,16.0,833.0,146.0,1590.0,387.0,403.0,5089.0,Simple and Distributed Machine Learning.,121.0,29,True,2024-10-16 04:33:49.000,1.0.8,58.0,synapseml,,,,,5.0,,https://pypi.org/project/synapseml,2024-10-16 04:33:49.000,5.0,242681.0,242681.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +332,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-12-18 08:11:39.000000,2024-12-18 08:11:22,524.0,9.0,602.0,44.0,555.0,11.0,,4211.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,48.0,29,True,2024-12-16 17:07:49.000,0.11.20,105.0,sahi,conda-forge/sahi,,,,1595.0,1564.0,https://pypi.org/project/sahi,2024-12-16 17:07:49.000,31.0,161478.0,164316.0,https://anaconda.org/conda-forge/sahi,2024-12-18 02:06:06.849,83022.0,,,,,3.0,,30095.0,,,,,,,,,,,,,,,,,, +333,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,518.0,77.0,39.0,15.0,121.0,3992.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,19734.0,19612.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,241288.0,283108.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,376382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +334,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-12-20 05:56:48.000000,2024-11-05 10:29:23,704.0,25.0,686.0,41.0,1029.0,147.0,807.0,3914.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",81.0,29,True,2024-10-31 09:00:44.000,1.2.0,33.0,anomalib,,,,,126.0,121.0,https://pypi.org/project/anomalib,2024-10-31 09:01:10.000,5.0,26446.0,26880.0,,,,,,,,2.0,,15655.0,,,,,,,,,,,,,,,,,, +335,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-12-15 15:25:31.000000,2024-12-12 15:50:20,1496.0,9.0,256.0,22.0,1759.0,254.0,730.0,3652.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-12-15 15:25:39.000,0.19.1,62.0,deepchecks,,,,,485.0,473.0,https://pypi.org/project/deepchecks,2024-12-15 15:25:31.000,12.0,37904.0,37938.0,,,,,,,,2.0,,1316.0,,,,,,,,,,,,,,,,,, +336,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-08-23 13:53:47.619000,2023-11-21 21:15:59,435.0,,612.0,77.0,230.0,95.0,404.0,3588.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,29,False,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1637.0,1608.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,214254.0,233718.0,https://anaconda.org/conda-forge/implicit,2024-08-23 13:53:47.619,990341.0,,,,,2.0,,1623.0,,,,,,,,,,,,,,,,,, +337,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-12-20 21:57:28.000000,2024-12-20 21:19:02,1587.0,60.0,357.0,69.0,1459.0,118.0,88.0,3502.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,29,True,2024-12-20 21:57:28.000,1.3.1,20.0,lit-nlp,conda-forge/lit-nlp,,,,45.0,42.0,https://pypi.org/project/lit-nlp,2024-12-20 21:27:54.000,3.0,5624.0,7585.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,100037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +338,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-09-09 06:24:01.000000,2024-09-09 06:24:01,415.0,,250.0,64.0,56.0,9.0,,3422.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",17.0,29,True,2024-07-16 09:36:19.000,4.6.3,29.0,textdistance,conda-forge/textdistance,,,,7697.0,7598.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,721970.0,736191.0,https://anaconda.org/conda-forge/textdistance,2024-07-17 15:04:16.210,696259.0,,,,,2.0,,1050.0,,,,,,,,,,,,,,,,,, +339,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-11-26 12:05:54.000000,2024-11-26 12:05:53,1223.0,9.0,410.0,50.0,95.0,140.0,522.0,3082.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",29.0,29,True,2024-11-12 09:10:30.000,1.1.14,97.0,mljar-supervised,conda-forge/mljar-supervised,,,,142.0,136.0,https://pypi.org/project/mljar-supervised,2024-11-12 09:10:30.000,6.0,10777.0,11435.0,https://anaconda.org/conda-forge/mljar-supervised,2024-11-12 15:10:26.203,27642.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-10-23 10:52:14.000000,2024-10-23 10:52:14,3642.0,13.0,526.0,110.0,364.0,388.0,691.0,2897.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,29,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,855.0,835.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,9034.0,9034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +341,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,96.0,1045.0,260.0,297.0,2559.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1677.0,1655.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,103641.0,103641.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-07-18 15:45:47.000000,2024-06-20 19:30:24,1373.0,,329.0,23.0,50.0,35.0,203.0,2338.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,29,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,585.0,575.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,59372.0,60576.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,57838.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +343,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-12-16 07:07:04.000000,2024-12-11 16:12:58,739.0,12.0,225.0,41.0,562.0,140.0,235.0,2267.0,"Algorithms for outlier, adversarial and drift detection.",26.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,506.0,499.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,80383.0,80383.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +344,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-10-08 16:09:34.000000,2024-10-08 16:09:34,62.0,6.0,526.0,43.0,29.0,49.0,81.0,2264.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",16.0,29,True,2024-10-08 01:42:18.000,1.0.0,12.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],6882.0,6809.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,147728.0,147975.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,13910.0,,,,,3.0,,17.0,,,,,,,,,,,,,,,,,, +345,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-12-01 14:51:14.000000,2024-12-01 14:51:07,495.0,10.0,300.0,68.0,127.0,23.0,107.0,2067.0,ffn - a financial function library for Python.,35.0,29,True,2024-11-02 20:02:17.000,1.1.1,38.0,ffn,conda-forge/ffn,,,,528.0,510.0,https://pypi.org/project/ffn,2024-11-02 20:01:43.000,18.0,16203.0,16521.0,https://anaconda.org/conda-forge/ffn,2024-11-03 02:53:44.505,14008.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-12-23 11:31:22.000000,2024-10-04 09:56:03,2451.0,1.0,435.0,76.0,1271.0,154.0,682.0,1854.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-06-17 13:05:05.000,2.9.2,50.0,gpflow,conda-forge/gpflow,,,['tensorflow'],746.0,711.0,https://pypi.org/project/gpflow,2024-06-17 13:05:05.000,35.0,70754.0,71872.0,https://anaconda.org/conda-forge/gpflow,2024-06-26 16:24:01.852,38031.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +347,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-07-09 19:44:03.000000,2024-04-29 20:57:51,290.0,,359.0,47.0,80.0,78.0,113.0,1811.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6860.0,6757.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,124743.0,125888.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,89325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-10-29 10:43:38.000000,2024-10-29 10:43:38,3929.0,17.0,294.0,30.0,581.0,102.0,722.0,1807.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,80.0,29,True,2024-10-29 08:53:47.000,0.6.0,9.0,avalanche-lib,,,,,117.0,114.0,https://pypi.org/project/avalanche-lib,2024-10-29 08:52:52.000,3.0,1249.0,1250.0,,,,,,,,2.0,,45.0,,,,,,,,,,,,,,,,,, +349,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-12-26 13:10:20.000000,2024-12-26 12:57:45,2374.0,256.0,162.0,12.0,1039.0,95.0,993.0,1638.0,"dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with..",49.0,29,True,2024-12-18 11:55:07.000,0.18.31,250.0,dstack,,,,,18.0,18.0,https://pypi.org/project/dstack,2024-12-26 13:10:20.000,,6730.0,6730.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-11-25 22:37:09.000000,2024-11-25 22:31:52,1041.0,24.0,601.0,103.0,296.0,22.0,300.0,1581.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,29,True,2024-11-25 22:37:09.000,2.13.0,36.0,tabpy,anaconda/tabpy-client,,,,194.0,192.0,https://pypi.org/project/tabpy,2024-11-25 22:37:09.000,2.0,7353.0,7404.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4780.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-12-11 20:40:27.070000,2024-06-05 08:42:47,1478.0,,166.0,31.0,252.0,,,1356.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,29,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],2084.0,1997.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,87.0,233893.0,236047.0,https://anaconda.org/conda-forge/spacy-transformers,2024-12-11 20:40:27.070,79719.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2024-12-21 15:02:43.000000,2024-12-21 14:41:29,3222.0,36.0,120.0,16.0,323.0,8.0,184.0,821.0,Python bindings for MPI.,27.0,29,True,2024-10-11 10:59:53.000,4.0.1,30.0,mpi4py,conda-forge/mpi4py,,,,750.0,,https://pypi.org/project/mpi4py,2024-10-11 10:59:53.000,750.0,345545.0,410446.0,https://anaconda.org/conda-forge/mpi4py,2024-10-12 13:31:50.789,3218037.0,,,,,2.0,,28712.0,,,,,,,,,,,,,,,,,, +353,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-12-18 08:19:39.527000,2024-12-17 11:26:34,868.0,24.0,77.0,26.0,421.0,109.0,243.0,604.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-12-18 08:38:32.000,1.14.0,71.0,geoviews,conda-forge/geoviews,,,,1233.0,1170.0,https://pypi.org/project/geoviews,2024-12-17 11:40:57.000,63.0,15596.0,20846.0,https://anaconda.org/conda-forge/geoviews,2024-12-18 08:19:39.527,267753.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +354,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-12-24 21:04:09.000000,2024-12-19 13:55:54,2106.0,8.0,64.0,17.0,1645.0,27.0,218.0,590.0,The experiment tracker for foundation model training.,55.0,29,True,2024-10-31 09:03:43.000,1.13.0,211.0,neptune-client,conda-forge/neptune-client,,,,781.0,704.0,https://pypi.org/project/neptune-client,2024-10-31 09:03:43.000,77.0,525021.0,530522.0,https://anaconda.org/conda-forge/neptune-client,2024-10-31 15:38:08.903,302576.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +355,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-09-03 10:05:52.331000,2023-12-15 12:50:52,282.0,,107.0,25.0,54.0,37.0,57.0,499.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,29,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,27142.0,27007.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,2061020.0,2079370.0,https://anaconda.org/conda-forge/audioread,2024-09-03 10:05:52.331,917505.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +356,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,,3895.0,620.0,233.0,53.0,,15267.0,Python Backtesting library for trading strategies.,56.0,28,False,,,157.0,backtrader,,,,,2592.0,2518.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,44921.0,44921.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +357,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-11-04 14:34:30.000000,2024-11-04 14:34:28,348.0,6.0,1377.0,425.0,51.0,105.0,88.0,10591.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2024-10-31 13:26:46.000,4.1.2,50.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-10-31 13:26:46.000,10.0,23352.0,23352.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-12-05 15:25:11.000000,2024-09-10 20:43:30,1626.0,,814.0,140.0,1572.0,122.0,125.0,8121.0,Trax Deep Learning with Clear Code and Speed.,80.0,28,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,196.0,195.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4054.0,4054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +359,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,,1146.0,347.0,81.0,51.0,231.0,8049.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,891.0,865.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2336.0,2701.0,,,,,,,,3.0,,32202.0,google-deepmind/pysc2,,,,,,,,,,,,,,,,, +360,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,MIT,2013-04-05 23:14:27.000,2024-12-03 17:50:20.000000,2024-12-03 17:50:20,6627.0,1.0,1586.0,626.0,2112.0,453.0,1338.0,6340.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",124.0,28,True,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,1702.0,1702.0,,,,,,,,3.0,,13.0,numenta/nupic-legacy,,,,,,,,,,,,,,,,, +361,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1196.0,209.0,93.0,201.0,123.0,5931.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,False,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,552.0,540.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,11949.0,11949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +362,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1364.0,200.0,158.0,49.0,227.0,5532.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],802.0,796.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1216.0,1216.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +363,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,,474.0,74.0,63.0,112.0,57.0,4972.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,3506.0,3484.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,468826.0,468826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +364,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-07-24 18:48:54.000000,2023-04-30 18:36:20,483.0,,686.0,87.0,209.0,157.0,358.0,4800.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1660.0,1628.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,381998.0,384889.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,240010.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +365,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-12-20 20:59:37.000000,2024-12-12 19:32:29,6179.0,14.0,529.0,147.0,1950.0,338.0,1388.0,4598.0,ArrayFire: a general purpose GPU library.,95.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,2383.0,2449.0,,,,,,,,2.0,,7583.0,,,,,,,,,,,,,,,,,, +366,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,413.0,37.0,57.0,138.0,45.0,4021.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],17815.0,17680.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,196313.0,196313.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +367,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,949.0,217.0,408.0,139.0,402.0,3849.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1083.0,1071.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,1603.0,1603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +368,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-16 18:13:04.000000,2024-05-16 18:13:03,456.0,,526.0,114.0,93.0,23.0,101.0,3537.0,Module for automatic summarization of text documents and HTML pages.,32.0,28,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,3397.0,3366.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,124238.0,124482.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,10263.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +369,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,390.0,46.0,1086.0,4.0,353.0,3308.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1256.0,1226.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,43845.0,43845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +370,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,450.0,82.0,245.0,69.0,155.0,3079.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,213.0,210.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,30585.0,30586.0,,,,,,,,2.0,,94.0,,,,,,,,,,,,,,,,,, +371,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,,676.0,108.0,74.0,102.0,123.0,3038.0,Productivity Tools for Plotly + Pandas.,39.0,28,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],12791.0,12682.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,52717.0,52717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-08-29 16:58:41.000000,2024-08-29 16:58:41,621.0,,335.0,46.0,121.0,72.0,137.0,2989.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1432.0,1379.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,108245.0,110121.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,91971.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +373,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-12-12 13:40:00.000000,2024-12-12 13:39:24,2308.0,4.0,722.0,81.0,206.0,200.0,469.0,2823.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",152.0,28,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,35381.0,35381.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +374,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-11-15 23:43:58.000000,2024-11-15 23:43:54,3557.0,4.0,334.0,154.0,1184.0,35.0,60.0,2731.0,Neural Network Libraries.,76.0,28,True,2024-05-29 05:14:17.000,1.39.0,79.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,9502.0,9513.0,,,,,,,,3.0,,1002.0,,,,,,,,,,,,,,,,,, +375,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-08-20 05:47:39.000000,2018-08-19 12:37:47,130.0,,284.0,64.0,61.0,31.0,39.0,2432.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],5843.0,5758.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,449308.0,451461.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,191697.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +376,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,45.0,57.0,71.0,210.0,2374.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],370.0,363.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,9007.0,9007.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +377,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,315.0,65.0,15.0,28.0,47.0,2336.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,12101.0,11946.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,361722.0,361722.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-12-23 15:28:52.000000,2023-06-01 12:18:23,739.0,,320.0,45.0,44.0,99.0,56.0,2243.0,A modular active learning framework for Python.,20.0,28,False,2024-12-23 15:28:52.000,0.70.0,1573.0,modAL,,,,['sklearn'],73.0,,https://pypi.org/project/modAL,2024-12-23 15:28:52.000,73.0,584115.0,584115.0,,,,,,,,3.0,,46.0,,,,,,,,,,,,,,,,,, +379,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-12-22 04:06:49.000000,2024-12-22 04:06:41,2338.0,81.0,135.0,29.0,272.0,5.0,43.0,2078.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-09-15 02:15:00.000,0.5.3,147.0,labml,,,,,209.0,195.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,4639.0,4639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +380,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-12-22 18:27:31.714000,2024-12-09 19:08:18,677.0,2.0,400.0,41.0,64.0,30.0,273.0,1967.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,2173.0,2151.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,39333.0,40191.0,https://anaconda.org/conda-forge/ogb,2024-12-22 18:27:31.714,43806.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,279.0,40.0,495.0,172.0,151.0,1808.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,28,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,199.0,191.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,160142.0,160149.0,,,,,,,,2.0,,548.0,,,,,,,,,,,,,,,,,, +382,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-09-08 19:48:30.000000,2024-09-08 00:19:34,1851.0,,390.0,50.0,136.0,30.0,435.0,1759.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,28,True,2024-08-20 10:48:59.000,1.2.4,30.0,vizdoom,,,,,300.0,285.0,https://pypi.org/project/vizdoom,2024-08-20 10:48:59.000,15.0,4740.0,4855.0,,,,,,,,2.0,,12129.0,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,, +383,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-12-16 13:13:33.000000,2024-12-16 13:13:11,834.0,2.0,323.0,120.0,788.0,229.0,168.0,1503.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",86.0,28,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,585672.0,585672.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +384,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-11-06 15:43:29.000000,2024-11-06 15:43:27,1077.0,16.0,122.0,24.0,116.0,37.0,57.0,1409.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",24.0,28,True,2024-10-15 14:24:34.000,2.0.0,50.0,imodels,,,,,119.0,110.0,https://pypi.org/project/imodels,2024-10-15 14:23:49.000,9.0,67606.0,67606.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +385,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-10-02 18:05:47.000000,2024-10-02 18:05:45,687.0,9.0,166.0,50.0,164.0,24.0,384.0,1391.0,moDel Agnostic Language for Exploration and eXplanation.,26.0,28,False,2024-10-02 18:03:07.000,1.7.1,28.0,dalex,conda-forge/dalex,,,,202.0,195.0,https://pypi.org/project/dalex,2024-10-02 18:03:07.000,7.0,23299.0,23695.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,18648.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +386,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2024-11-19 00:49:33.596000,2024-09-18 16:03:14,147.0,,127.0,24.0,111.0,50.0,79.0,1349.0,Python 3.8+ toolbox for submitting jobs to Slurm.,25.0,28,True,2024-09-18 16:05:09.000,1.5.2,24.0,submitit,conda-forge/submitit,,,,3746.0,3697.0,https://pypi.org/project/submitit,2024-09-18 16:05:09.000,49.0,399690.0,400553.0,https://anaconda.org/conda-forge/submitit,2024-11-19 00:49:33.596,44879.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +387,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-12-24 10:44:32.000000,2024-12-24 10:44:31,417.0,9.0,184.0,25.0,42.0,1.0,132.0,1298.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,28,True,2024-11-17 22:13:50.000,0.14.0,61.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],667.0,649.0,https://pypi.org/project/prince,2024-11-17 22:13:50.000,18.0,138903.0,139263.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,21970.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +388,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-12-17 19:56:35.000000,2024-12-17 19:56:35,548.0,12.0,118.0,22.0,401.0,40.0,292.0,1293.0,Extra blocks for scikit-learn pipelines.,68.0,28,True,2024-12-17 12:12:51.000,0.9.4,55.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],182.0,169.0,https://pypi.org/project/scikit-lego,2024-12-17 12:10:04.000,13.0,25059.0,26154.0,https://anaconda.org/conda-forge/scikit-lego,2024-07-10 21:13:14.463,60233.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +389,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-06-19 19:59:13.000000,2024-01-17 21:03:09,532.0,,418.0,52.0,41.0,17.0,139.0,1248.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2953.0,2915.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,219112.0,220053.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,52703.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +390,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-11-08 16:30:13.279000,2024-02-08 16:58:25,2080.0,,250.0,41.0,39.0,76.0,591.0,1181.0,"pyclustering is a Python, C++ data mining library.",26.0,28,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,815.0,783.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,29645.0,31537.0,https://anaconda.org/conda-forge/pyclustering,2024-11-08 16:30:13.279,99977.0,,,,,3.0,,653.0,,,,,,,,,,,,,,,,,, +391,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-12-23 13:13:40.970000,2024-12-21 17:59:38,833.0,10.0,126.0,30.0,434.0,81.0,342.0,1105.0,BAyesian Model-Building Interface (Bambi) in Python.,44.0,28,True,2024-12-21 18:08:46.000,0.15.0,30.0,bambi,conda-forge/bambi,,,,178.0,164.0,https://pypi.org/project/bambi,2024-12-21 18:08:46.000,14.0,24024.0,24883.0,https://anaconda.org/conda-forge/bambi,2024-12-23 13:13:40.970,41270.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +392,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,443.0,43.0,176.0,93.0,102.0,1024.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,3798752.0,3828871.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2349355.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +393,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-11-27 23:12:36.000000,2024-11-27 23:12:35,944.0,5.0,215.0,58.0,99.0,39.0,172.0,987.0,Input pipeline framework.,29.0,28,True,2024-10-28 22:13:18.000,1.16.0,58.0,tensorflow-transform,,,,['tensorflow'],18.0,,https://pypi.org/project/tensorflow-transform,2024-10-28 22:32:45.000,18.0,469723.0,469723.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2024-10-10 15:48:16.000000,2023-02-20 00:24:10,1723.0,,190.0,41.0,176.0,72.0,174.0,955.0,A Jupyter - Three.js bridge.,30.0,28,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,77329.0,84837.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,622292.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,1467.0,,,,,,,,,,,, +395,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2024-11-25 14:12:15.000000,2024-11-25 14:09:30,820.0,1.0,256.0,40.0,514.0,282.0,258.0,906.0,Scalable Machine Learning with Dask.,80.0,28,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1265.0,1172.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,93.0,131098.0,147957.0,https://anaconda.org/conda-forge/dask-ml,2024-06-17 15:22:39.176,927265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +396,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-12-24 18:09:00.000000,2024-12-24 18:02:36,1380.0,12.0,146.0,26.0,492.0,24.0,139.0,898.0,A Comparative Framework for Multimodal Recommender Systems.,22.0,28,True,2024-12-24 18:14:45.000,2.3.0,60.0,cornac,conda-forge/cornac,,,,270.0,252.0,https://pypi.org/project/cornac,2024-12-24 07:20:48.000,18.0,39935.0,51697.0,https://anaconda.org/conda-forge/cornac,2024-12-24 16:50:48.705,635181.0,,,,,2.0,2.0,,,,,,,,,,,,,,,,,,, +397,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-07-18 20:23:32.152000,2024-07-17 19:01:14,1326.0,,149.0,50.0,59.0,21.0,70.0,856.0,Computer Vision in Python.,35.0,28,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,1476.0,1413.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,20953.0,30868.0,https://anaconda.org/conda-forge/mahotas,2024-07-18 20:23:32.152,535449.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +398,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-12-01 02:04:06.000000,2024-12-01 02:03:32,3719.0,4.0,330.0,65.0,691.0,39.0,536.0,843.0,The Classical Language Toolkit.,121.0,28,True,2024-12-01 02:04:06.000,1.4.0,218.0,cltk,,,,,300.0,283.0,https://pypi.org/project/cltk,2024-12-01 02:04:06.000,17.0,4597.0,4597.0,,,,,,,,2.0,,109.0,,,,,,,,,,,,,,,,,, +399,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-10-24 21:42:13.000000,2024-10-24 21:41:40,887.0,38.0,148.0,29.0,97.0,47.0,76.0,629.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,21.0,28,True,2024-10-01 23:08:54.000,1.16.0,44.0,ml-metadata,,,,,639.0,608.0,https://pypi.org/project/ml-metadata,2024-10-01 23:08:54.000,31.0,79783.0,79824.0,,,,,,,,3.0,,2853.0,,,,,,,,,,,,,,,,,, +400,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-07-03 17:04:15.000000,2024-07-03 17:02:18,237.0,,59.0,14.0,207.0,12.0,187.0,343.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,28,True,2024-07-03 17:04:15.000,3.10.0,73.0,pystan,conda-forge/pystan,,,,10331.0,10170.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,717589.0,749238.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2943394.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +401,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1157.0,240.0,458.0,75.0,265.0,18440.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,False,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,29882.0,30300.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,27199.0,2.0,,,,,,,,,,,,,,,,,,,, +402,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1529.0,133.0,51.0,163.0,141.0,7985.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,237433.0,314438.0,,,,,,,,2.0,,4389285.0,,,,,,,,,,,,,,,,,, +403,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,886.0,268.0,98.0,82.0,81.0,7358.0,Visualizations for machine learning datasets.,31.0,27,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],292.0,284.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,52782.0,52782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +404,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1610.0,459.0,699.0,36.0,441.0,7339.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,136.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,1883.0,1908.0,,,,,,,,2.0,,2549.0,,,,,,,,,,,,,,,,,, +405,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,,1350.0,174.0,46.0,80.0,242.0,7155.0,2D and 3D Face alignment library build using pytorch.,26.0,27,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,39882.0,39882.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +406,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1359.0,351.0,14.0,42.0,66.0,6460.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1533.0,1525.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,37264.0,37264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +407,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-06-16 11:25:37.000000,2024-06-14 19:31:58,659.0,,1016.0,145.0,100.0,87.0,310.0,6448.0,A Python scikit for building and analyzing recommender systems.,46.0,27,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,125808.0,134079.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,438407.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +408,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,272.0,438.0,221.0,329.0,4831.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],334.0,332.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,658.0,658.0,,,,,,,,3.0,,25.0,,,,,,,,,,,,,,,,,, +409,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-08-02 08:16:49.000000,2024-08-02 08:16:49,252.0,,945.0,54.0,57.0,77.0,108.0,4625.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,27,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],2636.0,2585.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,77002.0,101147.0,,,,,,,,3.0,,1472876.0,,,,,,,,,,,,,,,,,, +410,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,999.0,146.0,32.0,52.0,77.0,4532.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,10053.0,9956.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,336498.0,336841.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,15448.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +411,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-11-27 09:38:10.000000,2024-11-27 09:38:09,1139.0,1.0,748.0,60.0,1015.0,187.0,742.0,4392.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],191.0,187.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,4070.0,4070.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +412,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-08-09 13:30:50.391000,2024-07-18 16:46:48,557.0,,741.0,175.0,90.0,1.0,288.0,4315.0,A python wrapper for Alpha Vantage API for financial data.,44.0,27,True,2024-07-18 14:29:16.000,3.0.0,35.0,alpha_vantage,conda-forge/alpha_vantage,,,,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,39607.0,39777.0,https://anaconda.org/conda-forge/alpha_vantage,2024-08-09 13:30:50.391,8003.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +413,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2024-09-27 16:58:57.000000,2023-07-05 18:14:28,901.0,,559.0,103.0,619.0,99.0,608.0,4310.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,False,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,458679.0,460351.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,86982.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +414,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-11-25 15:45:47.000000,2024-09-13 01:42:25,1464.0,,480.0,58.0,828.0,60.0,498.0,3922.0,NeuralProphet: A simple forecasting package.,56.0,27,True,2024-06-21 07:42:22.000,0.9.0,36.0,neuralprophet,,,,['pytorch'],8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,74129.0,74129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2024-12-25 14:11:57.000000,2024-12-24 16:21:28,730.0,553.0,213.0,44.0,843.0,25.0,84.0,3739.0,"From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better,..",28.0,27,True,2024-12-17 15:24:45.000,1.2.8,78.0,opik,,,,,1.0,,https://pypi.org/project/opik,2024-12-18 16:52:12.000,1.0,11697.0,11697.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +416,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-12-25 07:57:30.000000,2024-12-25 07:57:25,1686.0,17.0,688.0,44.0,33.0,7.0,579.0,3651.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,32.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],24.0,24.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,1853.0,1853.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +417,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-10-16 14:48:03.000000,2024-10-16 14:45:12,235.0,26.0,324.0,89.0,102.0,51.0,32.0,3549.0,Python library that makes it easy for data scientists to create charts.,27.0,27,True,2024-10-16 14:48:03.000,5.0.1,27.0,chartify,conda-forge/chartify,,,,89.0,80.0,https://pypi.org/project/chartify,2024-10-16 14:48:03.000,9.0,2032.0,2506.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,34643.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +418,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-10-30 15:06:30.000000,2024-10-30 15:05:16,1206.0,1.0,430.0,84.0,55.0,63.0,204.0,3549.0,A library of reinforcement learning components and agents.,86.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],227.0,224.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1549.0,1767.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,10706.0,,,,,2.0,,,google-deepmind/acme,,,,,,,,,,,,,,,,, +419,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1153.0,168.0,215.0,49.0,146.0,3448.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,725.0,720.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1091.0,1369.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,22802.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +420,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-08-11 08:09:18.000000,2024-06-22 17:36:10,1146.0,,254.0,61.0,121.0,7.0,293.0,3415.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2024-06-22 19:12:02.000,0.3.3,23.0,vidgear,,,,,672.0,657.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,17068.0,17097.0,,,,,,,,3.0,,2039.0,,,,,,,,,,,,,,,,,, +421,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-12-22 12:38:32.174000,2024-10-18 19:27:15,995.0,2.0,590.0,95.0,339.0,23.0,761.0,3391.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,27,True,2024-10-18 19:28:12.000,1.1.1,77.0,pomegranate,conda-forge/pomegranate,,,,59.0,,https://pypi.org/project/pomegranate,2024-10-18 19:28:12.000,59.0,14844.0,18243.0,https://anaconda.org/conda-forge/pomegranate,2024-12-22 12:38:32.174,186989.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +422,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-08-03 07:04:44.000000,2024-01-02 20:16:48,4161.0,,375.0,85.0,66.0,157.0,189.0,3353.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,516.0,499.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,6458.0,14547.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,752317.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +423,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-12-09 23:31:50.000000,2024-12-09 23:29:52,2914.0,120.0,721.0,156.0,64.0,6.0,848.0,3279.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,36.0,27,True,2024-12-04 19:30:00.000,1.8.0,22.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,926.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,72198.0,,,,,3.0,,4809.0,,,,,,,,,,,,,,,,,, +424,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-07-25 18:53:58.000000,2024-07-25 18:53:58,2707.0,,386.0,38.0,522.0,62.0,217.0,3021.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",66.0,27,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,342.0,331.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,5009.0,5188.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,9149.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +425,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,431.0,62.0,933.0,325.0,747.0,2960.0,StellarGraph - Machine Learning on Graphs.,40.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],300.0,289.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,4685.0,4685.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +426,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,,779.0,182.0,75.0,21.0,565.0,2885.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,34438.0,35220.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,50853.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,,425.0,46.0,367.0,27.0,350.0,2805.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,27,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,668.0,654.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,5199.0,5500.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,15962.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +428,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-08-13 16:15:34.495000,2024-08-12 14:54:41,1058.0,,411.0,124.0,145.0,198.0,247.0,2675.0,PYthon svg GrAph plotting Library.,77.0,27,False,2024-08-12 14:55:21.000,3.0.5,81.0,pygal,conda-forge/pygal,,,,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,211796.0,215126.0,https://anaconda.org/conda-forge/pygal,2024-08-13 16:15:34.495,76594.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +429,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,258.0,29.0,1132.0,78.0,224.0,2645.0,Database system for AI-powered apps.,72.0,27,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],150.0,150.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,839.0,15238.0,,,,,,,,3.0,,417589.0,georgia-tech-db/evadb,,,,,,,,,,,,,,,,, +430,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-12-25 21:52:12.000000,2024-12-25 21:52:12,151.0,11.0,346.0,29.0,340.0,46.0,348.0,2607.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,15.0,27,True,2024-11-02 18:47:18.000,1.0.1,22.0,adapter-transformers,,,,['huggingface'],153.0,141.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,3896.0,3896.0,,,,,,,,3.0,,,adapter-hub/adapters,,,,,,,,,,,,,,,,, +431,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-12-16 00:39:00.000000,2024-12-06 11:28:50,668.0,5.0,252.0,56.0,674.0,151.0,225.0,2420.0,Algorithms for explaining machine learning models.,22.0,27,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,720.0,695.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,14642.0,14642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +432,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,250.0,87.0,124.0,35.0,230.0,2217.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1970.0,1904.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,23156.0,25072.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,174404.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +433,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,318.0,63.0,38.0,97.0,160.0,2179.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],392.0,386.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,15831.0,15831.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +434,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-11-22 16:48:16.000000,2024-02-28 15:45:58,1631.0,,250.0,67.0,63.0,32.0,199.0,2171.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,27,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],60.0,58.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,1409.0,1409.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +435,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-12-23 17:00:42.000000,2024-12-21 06:59:02,6695.0,102.0,307.0,45.0,3035.0,194.0,1595.0,1814.0,cuGraph - RAPIDS Graph Analytics Library.,118.0,27,True,2024-12-11 21:47:02.000,24.12.00,41.0,cugraph,conda-forge/libcugraph,,,,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,345.0,938.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,26112.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +436,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,213.0,38.0,1081.0,25.0,496.0,1747.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,False,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],310.0,305.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2145.0,2759.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,24572.0,,,,,2.0,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,, +437,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,55.0,446.0,6.0,402.0,1746.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],235.0,232.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,38220.0,38316.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,4232.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +438,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-11-16 19:42:02.087000,2024-10-24 16:30:49,696.0,2.0,164.0,22.0,128.0,9.0,131.0,1489.0,"Extensible, parallel implementations of t-SNE.",13.0,27,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,994.0,947.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,40316.0,47104.0,https://anaconda.org/conda-forge/opentsne,2024-11-16 19:42:02.087,353004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +439,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,73.0,742.0,58.0,168.0,1484.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,416.0,414.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,1469.0,1469.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +440,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-12-09 14:53:25.000000,2024-12-09 14:53:25,613.0,3.0,424.0,31.0,52.0,18.0,132.0,1463.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,30.0,27,False,2024-08-23 12:23:48.000,2.3.3,26.0,minisom,,,,,753.0,722.0,https://pypi.org/project/minisom,2024-08-23 12:22:45.000,31.0,27902.0,27902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +441,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-12-26 11:34:47.000000,2024-10-15 17:52:15,3072.0,6.0,124.0,36.0,378.0,15.0,191.0,1461.0,Multi-class confusion matrix library in Python.,17.0,27,True,2024-10-17 14:28:07.000,4.1,45.0,pycm,,,,,385.0,361.0,https://pypi.org/project/pycm,2024-10-17 14:28:28.000,24.0,41792.0,41792.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +442,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2024-10-27 05:01:35.000000,2024-10-27 05:01:33,863.0,5.0,270.0,81.0,492.0,53.0,207.0,1439.0,Underthesea - Vietnamese NLP Toolkit.,19.0,27,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,,1354.0,1343.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,11.0,25051.0,25133.0,,,,,,,,2.0,,7549.0,,,,,,,,,,,,,,,,,, +443,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,,204.0,44.0,259.0,68.0,213.0,1368.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,479.0,452.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2124.0,2124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +444,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-12-23 20:37:23.000000,2024-12-18 16:07:19,2408.0,171.0,421.0,56.0,592.0,190.0,266.0,1321.0,Machine learning on FPGAs using HLS.,63.0,27,True,2024-12-09 22:48:05.000,1.0.0,17.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",1.0,,https://pypi.org/project/hls4ml,2024-12-09 22:48:05.000,1.0,1187.0,1371.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,9394.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +445,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-07-26 06:19:42.000000,2020-10-14 13:22:39,167.0,,408.0,72.0,89.0,36.0,26.0,1320.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1564.0,1508.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,22954.0,23338.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,31503.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +446,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-12-22 03:01:01.000000,2024-12-22 02:59:40,70.0,3.0,299.0,55.0,65.0,14.0,112.0,1315.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,27,True,2024-12-22 03:01:01.000,0.6.3,25.0,stockstats,,,,,1153.0,1141.0,https://pypi.org/project/stockstats,2024-12-22 03:01:01.000,12.0,9829.0,9829.0,,,,,,,,2.0,2.0,,,,,,,,,,,,,,,,,,, +447,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,,331.0,40.0,302.0,31.0,200.0,1298.0,A research toolkit for particle swarm optimization in Python.,45.0,27,False,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,500.0,478.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,29912.0,29912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +448,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,176.0,25.0,36.0,1.0,116.0,1255.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1761.0,1740.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,151544.0,151544.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +449,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-12-23 13:15:00.000000,2024-07-24 14:36:04,2074.0,,225.0,42.0,617.0,109.0,461.0,1097.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,42.0,27,False,2024-07-24 14:42:30.000,2.2.0,49.0,smac,conda-forge/smac,,,,40.0,,https://pypi.org/project/smac,2024-07-24 14:42:30.000,40.0,45546.0,46144.0,https://anaconda.org/conda-forge/smac,2024-05-16 20:20:11.437,26916.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +450,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-12-26 11:00:01.158000,2024-02-29 13:41:11,1144.0,,244.0,61.0,249.0,5.0,367.0,991.0,Search and download Copernicus Sentinel satellite images.,44.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,640.0,606.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,20990.0,21677.0,https://anaconda.org/conda-forge/sentinelsat,2024-12-26 11:00:01.158,34230.0,,,,,3.0,,329.0,,,,,,,,,,,,,,,,,, +451,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,177.0,33.0,86.0,88.0,123.0,922.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1903.0,1878.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,66064.0,66064.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +452,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-12-14 16:28:19.477000,2024-11-10 14:49:37,681.0,2.0,106.0,14.0,100.0,73.0,67.0,906.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,27,True,2024-06-17 15:48:31.000,0.5.13,32.0,pynndescent,conda-forge/pynndescent,,,,8991.0,8835.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,1672286.0,1712712.0,https://anaconda.org/conda-forge/pynndescent,2024-12-14 16:28:19.477,2142627.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-12-17 22:18:44.000000,2024-12-17 22:18:44,638.0,13.0,164.0,31.0,231.0,5.0,105.0,652.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,36.0,27,True,2024-10-03 19:57:53.000,0.7,13.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],443.0,415.0,https://pypi.org/project/pyriemann,2024-10-03 19:58:27.000,28.0,27127.0,27437.0,https://anaconda.org/conda-forge/pyriemann,2024-10-04 03:48:24.751,9322.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +454,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-12-24 16:12:08.000000,2024-12-24 16:12:08,6798.0,77.0,145.0,35.0,414.0,37.0,141.0,383.0,Neuroimaging in Python FMRI analysis package.,71.0,27,False,2024-10-06 19:42:32.000,0.6.1,9.0,nipy,conda-forge/nipy,,,,262.0,238.0,https://pypi.org/project/nipy,2024-10-06 19:42:32.000,24.0,2733.0,29449.0,https://anaconda.org/conda-forge/nipy,2024-07-28 17:27:34.085,133580.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +455,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-12-11 14:40:44.000000,2024-12-11 14:40:44,102.0,2.0,1833.0,209.0,75.0,113.0,41.0,10803.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,33.0,26,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,16.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,14.0,32138.0,32138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +456,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1221.0,185.0,213.0,32.0,534.0,9496.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,308.0,,,,,,,,3.0,,14522.0,,,,,,,,,,,,,,,,,, +457,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-11-19 08:19:11.000000,2024-11-19 08:19:11,13850.0,11.0,1551.0,137.0,3624.0,75.0,1985.0,5765.0,An Industrial Grade Federated Learning Framework.,101.0,26,True,2024-07-31 11:47:02.000,2.2.0,51.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +458,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2024-07-03 08:05:36.000000,2020-05-03 07:13:22,108.0,,599.0,142.0,31.0,69.0,55.0,5603.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1908.0,1852.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1690184.0,1690567.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,20318.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +459,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,64.0,136.0,74.0,5086.0,Image augmentation library in Python for machine learning.,23.0,26,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,874.0,862.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,7806.0,7806.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +460,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-06-09 21:29:46.000000,2024-06-09 21:29:43,1062.0,,1021.0,243.0,219.0,52.0,203.0,4598.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,68.0,67.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,1721.0,1819.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,4330.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +461,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,281.0,226.0,12.0,356.0,3875.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,26,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,305187.0,305619.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,25953.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +462,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-11-20 06:18:08.919000,2024-10-24 16:27:28,480.0,3.0,279.0,51.0,477.0,69.0,261.0,3370.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,26,True,2024-10-25 17:04:56.000,0.4.12,25.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,7.0,,https://pypi.org/project/hummingbird-ml,2024-10-25 17:04:56.000,7.0,7286.0,8468.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-11-20 06:18:08.919,52582.0,,,,,2.0,,770.0,,,,,,,,,,,,,,,,,, +463,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,,530.0,142.0,240.0,43.0,635.0,3299.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],460.0,456.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +464,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-10-18 00:01:12.000000,2024-10-18 00:01:11,1586.0,10.0,252.0,29.0,2020.0,3.0,666.0,3268.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,38.0,26,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,18807.0,18882.0,,,,,,,,3.0,,2727.0,,,,,,,,,,,,,,,,,, +465,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,300.0,33.0,477.0,54.0,30.0,3058.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,26,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,159930.0,160209.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,12306.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +466,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,215.0,3649.0,429.0,1111.0,3035.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1735.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,153630.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1523.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +467,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,68.0,168.0,164.0,113.0,2764.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,61.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,61.0,156822.0,158703.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,171256.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +468,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-10-23 15:36:38.000000,2023-07-23 14:42:27,191.0,,491.0,38.0,250.0,52.0,290.0,2675.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,False,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,44369.0,44620.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,9068.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +469,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,719.0,168.0,94.0,136.0,358.0,2495.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,29.0,27.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,593.0,593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +470,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-12-10 03:08:36.000000,2024-12-10 03:08:33,438.0,1.0,842.0,91.0,291.0,200.0,103.0,2489.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,26,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,575.0,543.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,24085.0,24424.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,17328.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +471,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-07-27 16:14:52.000000,2024-07-27 16:14:15,696.0,,249.0,35.0,148.0,24.0,146.0,2426.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,262.0,253.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,9.0,19844.0,19850.0,,,,,,,,3.0,,343.0,,,,,,,,,,,,,,,,,, +472,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,338.0,77.0,55.0,170.0,68.0,2316.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1456.0,1407.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,34443.0,34443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +473,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-09-23 05:35:47.000000,2024-09-23 05:24:01,389.0,,291.0,55.0,14.0,22.0,80.0,2266.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-09-23 05:35:47.000,0.2.2,151.0,scattertext,conda-forge/scattertext,,,,649.0,644.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,12089.0,13270.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,103990.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-10-07 11:50:22.000000,2024-09-23 17:14:22,14660.0,,86.0,41.0,59.0,13.0,78.0,2186.0,The friendly PIL fork.,434.0,26,False,,,72.0,pillow-simd,,,,,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,21970.0,21970.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +475,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-07-16 08:39:07.000000,2024-05-21 15:42:46,481.0,,336.0,65.0,161.0,13.0,92.0,2160.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,791.0,772.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,72936.0,72936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2070.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2435.0,2421.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,90622.0,94538.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,542.0,,,,,3.0,,261689.0,,,,,,,,,,,,,,,,,, +477,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,165.0,26.0,82.0,51.0,36.0,1783.0,A Python package for time series classification.,14.0,26,False,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,782.0,737.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,104627.0,105386.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,28857.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +478,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-12-23 19:45:21.000000,2024-12-23 19:38:03,1038.0,44.0,276.0,43.0,882.0,85.0,66.0,1670.0,A lightweight library for PyTorch training tools and utilities.,142.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,4498.0,4498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +479,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,283.0,52.0,88.0,24.0,191.0,1637.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,26,False,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],697.0,678.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,11406.0,11560.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,8368.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +480,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,310.0,28.0,381.0,56.0,155.0,1576.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],64.0,63.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,1717.0,1717.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +481,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-11-26 20:53:03.000000,2024-08-07 01:34:48,1970.0,,365.0,33.0,2283.0,86.0,237.0,1422.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,26,True,2024-07-08 18:03:34.000,0.36.0,57.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,7785.0,7785.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +482,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2024-12-20 17:07:42.391000,2024-11-22 14:04:30,811.0,1.0,148.0,35.0,215.0,120.0,152.0,1248.0,Real-time stream processing for python.,49.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,566.0,509.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,23755.0,49367.0,https://anaconda.org/conda-forge/streamz,2024-12-20 17:07:42.391,1357470.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +483,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-08-23 02:08:55.000000,2024-07-09 16:09:26,3066.0,,268.0,35.0,38.0,1.0,497.0,1239.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,26,True,2024-06-19 01:15:40.000,0.41.4,211.0,ktrain,,,,['tensorflow'],565.0,561.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,7049.0,7049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +484,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-12-15 20:03:00.000000,2024-12-15 20:03:00,796.0,5.0,69.0,17.0,133.0,56.0,117.0,1054.0,Visualize large time series data with plotly.py.,14.0,26,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1630.0,1606.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,24.0,443323.0,445658.0,https://anaconda.org/conda-forge/plotly-resampler,2024-12-05 23:08:14.776,81727.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,261.0,44.0,72.0,104.0,188.0,932.0,Gaussian Process Optimization using GPy.,50.0,26,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,583.0,546.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,14882.0,14882.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +486,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2024-08-20 16:20:38.000000,2021-02-11 16:40:18,279.0,,82.0,12.0,50.0,22.0,53.0,821.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,26,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,5109.0,5032.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,1056455.0,1056657.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,7684.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-11-20 13:14:37.000000,2024-11-20 13:14:36,977.0,9.0,174.0,49.0,89.0,39.0,144.0,765.0,Library for exploring and validating machine learning data.,27.0,26,True,2024-10-15 19:51:40.000,1.16.1,48.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",31.0,,https://pypi.org/project/tensorflow-data-validation,2024-10-15 20:20:03.000,31.0,148737.0,148749.0,,,,,,,,3.0,,923.0,,,,,,,,,,,,,,,,,, +488,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-12-06 11:29:54.000000,2024-12-06 11:28:50,368.0,11.0,98.0,20.0,147.0,36.0,94.0,654.0,pyspark methods to enhance developer productivity.,31.0,26,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],96.0,89.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,687475.0,687475.0,,,,,,,,3.0,,53.0,mrpowers-io/quinn,,,,,,,,,,,,,,,,, +489,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-06-05 18:36:28.000000,2023-08-23 17:20:54,1241.0,,160.0,18.0,717.0,42.0,208.0,512.0,A package built to support working with spatial data using open source python.,44.0,26,False,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,404.0,387.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,10255.0,11519.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,85957.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2024-06-18 11:08:22.000000,2019-12-05 08:17:22,46.0,,215.0,22.0,17.0,46.0,23.0,426.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2024-06-18 11:08:22.000,0.5.0,11.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],8203.0,8064.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,316829.0,317563.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,41132.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-12-23 10:34:02.342000,2024-12-18 12:56:13,545.0,8.0,40.0,5.0,16.0,3.0,60.0,354.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,15.0,26,True,2024-12-18 12:59:40.000,0.11.2,30.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],995.0,932.0,https://pypi.org/project/scikit-posthocs,2024-12-18 12:59:40.000,63.0,108647.0,128470.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-12-23 10:34:02.342,991152.0,,,,,3.0,,66.0,,,,,,,,,,,,,,,,,, +492,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,802.0,169.0,1588.0,145.0,74.0,6338.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,205.0,211.0,,,,,,,,3.0,,432.0,,,,,,,,,,,,,,,,,, +493,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2024-05-29 15:42:28.000000,2022-09-22 23:59:07,1084.0,,965.0,181.0,328.0,337.0,294.0,5807.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,141.0,141.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,613.0,658.0,,,,,,,,3.0,,3854.0,,,,,,,,,,,,,,,,,, +494,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-06-23 12:28:48.000000,2024-06-23 12:28:48,343.0,,990.0,47.0,34.0,67.0,113.0,5339.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],254.0,239.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,4634.0,4634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-12-20 11:10:49.000000,2024-12-20 11:10:48,3759.0,79.0,621.0,92.0,4127.0,245.0,1423.0,5208.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,94.0,25,True,2024-11-28 18:09:35.000,1.44.0,85.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-12-19 20:40:15.000000,2024-12-19 20:39:47,524.0,3.0,453.0,64.0,94.0,39.0,88.0,5207.0,Finding duplicate images made easy!.,16.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],165.0,160.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,18019.0,18019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-11-21 01:10:14.000000,2024-11-21 01:04:51,225.0,3.0,300.0,80.0,180.0,24.0,54.0,4980.0,"A data augmentations library for audio, image, text, and video.",38.0,25,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,164.0,160.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,3278.0,3278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,158.0,130.0,83.0,101.0,4677.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],805.0,799.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,599.0,599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +499,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,,453.0,44.0,56.0,95.0,175.0,4407.0,An Open-Source Framework for Prompt-Learning.,24.0,25,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,163.0,160.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,6010.0,6010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,134.0,649.0,65.0,198.0,3900.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,1640.0,1640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-11-26 11:14:41.000000,2024-11-26 10:38:20,182.0,1.0,412.0,157.0,85.0,105.0,101.0,3357.0,A deep learning library for video understanding research.,57.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,28341.0,28341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2024-08-06 11:36:13.000000,2023-11-29 13:26:08,135.0,,277.0,54.0,21.0,45.0,97.0,2966.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,25,False,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2743.0,2713.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,58741.0,59548.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,37166.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,478.0,97.0,49.0,65.0,254.0,2862.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,759.0,738.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,2572.0,2929.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,20051.0,,,,,3.0,,1140.0,,,,,,,,,,,,,,,,,, +504,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,,241.0,50.0,482.0,57.0,70.0,2833.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,286.0,283.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,25220.0,25221.0,,,,,,,,3.0,,91.0,,,,,,,,,,,,,,,,,, +505,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,226.0,64.0,42.0,18.0,24.0,2796.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,1239.0,1234.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,45038.0,45310.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,16920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-12-18 09:05:53.000000,2024-08-01 02:26:24,769.0,,366.0,79.0,559.0,144.0,95.0,2754.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,25,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,16173.0,16173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,,477.0,97.0,44.0,91.0,240.0,2750.0,Learning to Rank in TensorFlow.,36.0,25,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,58674.0,58674.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +508,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-10-14 19:46:14.000000,2024-10-14 19:46:14,1949.0,6.0,374.0,39.0,96.0,41.0,158.0,2703.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,34.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],7.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,7.0,2753.0,2753.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +509,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,617.0,87.0,29.0,25.0,52.0,2381.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,856.0,802.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,23394.0,23394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-12-01 16:24:05.000000,2024-11-29 04:22:46,558.0,12.0,228.0,40.0,137.0,63.0,127.0,2379.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,31.0,25,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,7.0,7.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,9699.0,9699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +511,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,240.0,70.0,21.0,93.0,66.0,2113.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,283.0,279.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,93342.0,93342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +512,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-11-25 23:58:14.000000,2024-11-25 23:57:34,891.0,3.0,444.0,60.0,362.0,117.0,93.0,1946.0,Library for training machine learning models with privacy for training data.,59.0,25,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,17990.0,17992.0,,,,,,,,3.0,,184.0,,,,,,,,,,,,,,,,,, +513,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-11-03 09:08:45.000000,2024-08-31 13:01:11,360.0,,312.0,1.0,1.0,1.0,,1923.0,Feature engineering package with sklearn like functionality.,49.0,25,True,2024-11-03 09:08:45.000,1.8.2,42.0,feature_engine,conda-forge/feature_engine,,,,166.0,,https://pypi.org/project/feature_engine,2024-11-03 09:08:45.000,166.0,210753.0,211948.0,https://anaconda.org/conda-forge/feature_engine,2024-09-01 13:51:20.563,62185.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +514,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,310.0,56.0,1313.0,235.0,810.0,1896.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],121.0,117.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +515,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-12-05 06:01:33.000000,2024-12-05 06:01:28,372.0,5.0,278.0,50.0,326.0,269.0,184.0,1871.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,25,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,288962.0,288962.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +516,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,,160.0,60.0,68.0,67.0,130.0,1829.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,25,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,493.0,491.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,954.0,954.0,,,,,,,,3.0,,59.0,,,,,,,,,,,,,,,,,, +517,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-06-10 12:09:16.000000,2024-06-10 12:07:33,223.0,,198.0,34.0,20.0,4.0,91.0,1754.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,25,True,2024-06-10 12:09:16.000,0.1.905,90.0,autoviz,conda-forge/autoviz,,,,807.0,796.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,17669.0,19460.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,71678.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +518,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,,269.0,27.0,187.0,11.0,390.0,1626.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,25,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],201.0,193.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1405.0,1405.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +519,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-12-02 05:44:37.000000,2024-12-02 05:44:37,1038.0,2.0,180.0,17.0,76.0,30.0,367.0,1579.0,PyTorch Extension Library of Optimized Scatter Operations.,31.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,37505.0,48504.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-11-05 09:02:23.775,593989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +520,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-12-04 03:48:36.000000,2022-08-31 01:52:51,509.0,,308.0,102.0,49.0,8.0,151.0,1574.0,Distributed Deep learning with Keras & Spark.,27.0,25,False,2024-12-04 03:48:36.000,6.2.1,46.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",,,https://pypi.org/project/elephas,2024-12-04 03:48:36.000,,37241.0,37491.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,16007.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +521,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,,214.0,43.0,12.0,4.0,51.0,1567.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],277.0,273.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,160257.0,160257.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +522,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-11-21 20:06:59.000000,2024-11-21 19:30:50,1226.0,16.0,122.0,29.0,73.0,4.0,29.0,1524.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,8.0,25,True,2024-11-21 20:06:59.000,0.8.0,30.0,pytorch_toolbelt,,,,['pytorch'],12.0,,https://pypi.org/project/pytorch_toolbelt,2024-11-21 20:06:59.000,12.0,7519.0,7520.0,,,,,,,,2.0,,126.0,,,,,,,,,,,,,,,,,, +523,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-12-24 00:22:41.000000,2024-12-18 07:37:03,584.0,21.0,140.0,21.0,326.0,10.0,151.0,1411.0,A standard framework for modelling Deep Learning Models for tabular data.,25.0,25,True,2024-11-29 01:07:50.000,1.1.1,13.0,pytorch_tabular,,,,['pytorch'],9.0,,https://pypi.org/project/pytorch_tabular,2024-11-28 05:14:21.000,9.0,4902.0,4903.0,,,,,,,,1.0,,52.0,,,,,,,,,,,,,,,,,, +524,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2024-08-01 05:16:36.000000,2023-11-06 15:20:05,206.0,,332.0,49.0,44.0,102.0,114.0,1409.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,False,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],621.0,613.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,20347.0,55928.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,347.0,,,,,3.0,,1814293.0,,,,,,,,,,,,,,,,,, +525,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2024-08-03 19:34:12.000000,2024-08-03 19:34:12,297.0,,231.0,46.0,186.0,53.0,121.0,1403.0,Metric learning algorithms in Python.,23.0,25,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],438.0,431.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,5255.0,5519.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,14030.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,404.0,90.0,165.0,103.0,224.0,1369.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],46.0,46.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,142.0,28.0,63.0,9.0,70.0,1298.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1755.0,1739.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,16.0,20931.0,20931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +528,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,34.0,68.0,57.0,206.0,1272.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,25,False,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],145.0,143.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,757.0,763.0,,,,,,,,3.0,,170.0,,,,,,,,,,,,,,,,,, +529,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-12-21 02:32:12.000000,2024-12-21 02:32:10,2629.0,100.0,97.0,20.0,1237.0,89.0,241.0,1164.0,"MetricFlow allows you to define, build, and maintain metrics in code.",46.0,25,False,2024-06-11 22:06:04.000,0.206.0,88.0,metricflow,,,,,32.0,28.0,https://pypi.org/project/metricflow,2024-07-09 00:14:45.000,4.0,23905.0,23905.0,,,,,,,,3.0,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,, +530,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,120.0,11.0,23.0,29.0,16.0,1154.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,7271.0,6799.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,517911.0,517911.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +531,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2024-11-18 15:00:19.000000,2023-01-03 21:24:56,1146.0,,158.0,33.0,25.0,35.0,236.0,738.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,25,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,184.0,180.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,2109.0,2109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-10-29 13:01:54.000000,2024-10-29 13:01:54,487.0,3.0,50.0,9.0,66.0,192.0,258.0,657.0,python binding for libvips using cffi.,16.0,25,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,936.0,859.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,77.0,49799.0,52830.0,https://anaconda.org/conda-forge/pyvips,2024-09-06 03:01:34.001,151564.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +533,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-12-23 04:48:41.000000,2024-12-23 04:48:41,580.0,14.0,60.0,42.0,338.0,22.0,63.0,321.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",42.0,25,True,2024-12-02 06:12:47.000,1.8.0,86.0,gokart,,,,,92.0,84.0,https://pypi.org/project/gokart,2024-12-02 06:12:47.000,8.0,3951.0,3951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-12-26 15:01:15.000000,2024-12-26 13:59:21,4292.0,667.0,62.0,7.0,399.0,51.0,117.0,273.0,Python recommendation toolkit.,15.0,25,False,2024-02-16 21:04:30.000,0.14.4,26.0,lenskit,conda-forge/lenskit,,,,129.0,120.0,https://pypi.org/project/lenskit,2024-12-25 21:03:45.000,9.0,1129.0,1893.0,https://anaconda.org/conda-forge/lenskit,2024-11-05 21:32:45.433,37448.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +535,ridgeplot,tpvasconcelos/ridgeplot,data-viz,,https://github.com/tpvasconcelos/ridgeplot,https://github.com/tpvasconcelos/ridgeplot,MIT,2021-01-21 18:21:30.000,2024-12-24 18:08:30.000000,2024-12-24 18:07:13,1043.0,453.0,8.0,5.0,247.0,13.0,39.0,199.0,Beautiful ridgeline plots in Python.,4.0,25,False,2024-12-24 18:09:19.000,0.3.1,29.0,ridgeplot,,,https://ridgeplot.readthedocs.io/,,164.0,159.0,https://pypi.org/project/ridgeplot,2024-12-24 18:08:30.000,5.0,43182.0,43182.0,,,,,,,,3.0,,23.0,,,,,,,,,,,,,,,,,, +536,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-07-06 13:17:45.000000,2024-07-02 22:54:35,200.0,,529.0,82.0,40.0,63.0,27.0,11390.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,24,False,2024-07-02 22:56:31.000,1.3.0,13.0,prettymaps,conda-forge/prettymaps,,,,64.0,64.0,https://pypi.org/project/prettymaps,2024-07-02 22:56:31.000,,1406.0,1519.0,https://anaconda.org/conda-forge/prettymaps,2024-07-03 13:55:21.192,3971.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +537,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-11-15 22:48:39.000000,2024-11-15 22:43:22,1099.0,2.0,924.0,114.0,676.0,146.0,543.0,5514.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,119.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],22.0,21.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,546.0,546.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,136.0,43.0,141.0,98.0,4938.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1162.0,1146.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,605.0,617.0,,,,,,,,3.0,,979.0,,,,,,,,,,,,,,,,,, +539,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,,1032.0,92.0,64.0,271.0,270.0,4780.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,32091.0,32091.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +540,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1385.0,356.0,59.0,51.0,,4454.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,197.0,197.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,901.0,901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +541,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,727.0,63.0,247.0,130.0,824.0,4188.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,3988.0,3988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,,897.0,176.0,386.0,34.0,430.0,3848.0,"Facilitating the design, comparison and sharing of deep text matching models.",37.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-09-05 04:03:54.000000,2024-09-05 04:03:53,4353.0,,617.0,42.0,1017.0,289.0,716.0,3512.0,"A unified, comprehensive and efficient recommendation library.",74.0,24,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,57680.0,57826.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,7159.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,527.0,172.0,50.0,67.0,49.0,3470.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],63.0,61.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,433.0,433.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +545,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-12-26 13:02:53.000000,2024-11-29 09:40:42,2878.0,21.0,1243.0,133.0,1141.0,50.0,87.0,3383.0,a distributed deep learning platform.,94.0,24,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,5.0,5.0,,,,,82.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,871.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,8519.0,3.0,,,,,,,,,,,,,,,,,,,, +546,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-07-30 10:50:08.000000,2024-07-09 09:34:16,515.0,,813.0,63.0,642.0,133.0,405.0,3300.0,A high-performance distributed training framework for Reinforcement Learning.,45.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],132.0,131.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,1053.0,1053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,111.0,73.0,193.0,118.0,3088.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,168.0,156.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,800.0,858.0,,,,,,,,3.0,,4757.0,,,,,,,,,,,,,,,,,, +548,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,661.0,70.0,25.0,117.0,101.0,2988.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],3002.0,3001.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,953.0,953.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-09-23 16:30:28.000000,2024-09-23 16:30:23,472.0,,335.0,65.0,319.0,50.0,124.0,2931.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],63.0,62.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,3562.0,3925.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,19639.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,,179.0,21.0,79.0,112.0,179.0,2875.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,60.0,59.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,858.0,858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,144.0,28.0,200.0,20.0,73.0,2773.0,HiPlot makes understanding high dimensional data easy.,9.0,24,False,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,495.0,469.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,32848.0,36600.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,217668.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,352.0,34.0,695.0,43.0,151.0,2724.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,False,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,120.0,116.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,326.0,93.0,2158.0,215.0,982.0,2712.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,False,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,19586.0,19586.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,,439.0,65.0,123.0,32.0,350.0,2393.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,24,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],74.0,72.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,,236.0,62.0,32.0,60.0,96.0,2297.0,Fast and Easy Infinite Neural Networks in Python.,29.0,24,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,120.0,119.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2811.0,2820.0,,,,,,,,3.0,,538.0,,,,,,,,,,,,,,,,,, +556,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,,258.0,52.0,98.0,25.0,116.0,2263.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,24,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",141.0,137.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2791.0,2791.0,,,,,,,,3.0,,,mckinsey/causalnex,,,,,,,,,,,,,,,,, +557,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,252.0,56.0,56.0,19.0,50.0,2216.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],765.0,746.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,7164.0,7164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,685.0,86.0,48.0,24.0,64.0,2148.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,574.0,562.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,57665.0,57665.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2024-12-14 15:17:29.000000,2024-11-05 08:39:28,583.0,5.0,168.0,56.0,475.0,81.0,104.0,2081.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,33.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,124.0,114.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,1048.0,1048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +560,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,29.0,65.0,11.0,83.0,2020.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,False,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],381.0,373.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1234.0,1415.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,8514.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-12-24 00:31:46.000000,2024-07-10 23:00:11,927.0,,135.0,35.0,447.0,50.0,354.0,1901.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,24,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,65.0,64.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,11494.0,11494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,310.0,98.0,45.0,188.0,217.0,1642.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,13.0,4.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,3037.0,3037.0,,,,,,,,2.0,,71.0,,,,,,,,,,,,,,,,,, +563,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,50.0,50.0,23.0,91.0,1632.0,Contextually-keyed word vectors.,19.0,24,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,440.0,427.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2468.0,4608.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,52218.0,,,,,3.0,,69401.0,,,,,,,,,,,,,,,,,, +564,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,123.0,28.0,31.0,63.0,50.0,1597.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],580.0,573.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,70543.0,70543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +565,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-11-23 22:25:52.000000,2024-11-23 22:09:12,359.0,2.0,275.0,43.0,257.0,77.0,198.0,1559.0,A framework for Privacy Preserving Machine Learning.,39.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],48.0,47.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,454.0,454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +566,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-08-14 21:07:18.000000,2024-08-14 20:38:00,159.0,,165.0,105.0,189.0,40.0,25.0,1512.0,fklearn: Functional Machine Learning.,56.0,24,True,2024-08-14 21:07:18.000,4.0.0,34.0,fklearn,,,,,16.0,16.0,https://pypi.org/project/fklearn,2024-08-14 21:07:18.000,,1794.0,1794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-09-24 21:15:08.000000,2024-05-24 12:07:18,209.0,,88.0,34.0,111.0,8.0,18.0,1274.0,A library of reinforcement learning building blocks in JAX.,21.0,24,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],297.0,286.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,19349.0,19349.0,,,,,,,,3.0,,,google-deepmind/rlax,,,,,,,,,,,,,,,,, +568,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-08-02 11:14:24.000000,2024-08-02 11:14:21,90.0,,247.0,20.0,23.0,5.0,88.0,1253.0,Implementation of the node2vec algorithm.,16.0,24,True,2024-08-02 11:13:59.000,0.5.0,19.0,node2vec,conda-forge/node2vec,,,,786.0,755.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,18652.0,19062.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,32465.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +569,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,,214.0,53.0,461.0,145.0,296.0,1213.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],77.0,68.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,782.0,782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,222.0,70.0,415.0,75.0,147.0,1181.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,181.0,176.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +571,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2024-11-12 23:23:07.000000,2024-11-12 23:19:10,478.0,28.0,211.0,53.0,94.0,59.0,219.0,1060.0,Line based ATR Engine based on OCRopy.,21.0,24,False,2024-11-12 23:23:07.000,2.3.1,45.0,calamari_ocr,,,,,8.0,,https://pypi.org/project/calamari_ocr,2024-11-12 23:23:07.000,8.0,3851.0,3851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,173.0,49.0,114.0,53.0,170.0,992.0,Python interface to GPU-powered libraries.,44.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,335.0,312.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,549.0,549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2024-12-26 14:03:02.000000,2024-12-23 19:18:13,2051.0,282.0,36.0,9.0,1569.0,9.0,42.0,988.0,"Dispatch and distribute your ML training to serverless clusters in Python, like PyTorch for ML infra. Iterable,..",16.0,24,True,2024-12-12 00:41:07.000,0.0.37,45.0,runhouse,,,,,1.0,,https://pypi.org/project/runhouse,2024-12-12 00:40:19.000,1.0,36642.0,36645.0,,,,,,,,3.0,,68.0,,,,,,,,,,,,,,,,,, +574,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2024-06-18 13:19:37.000000,2024-06-18 13:19:34,568.0,,191.0,48.0,61.0,1.0,68.0,986.0,Training neural models with structured signals.,38.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],497.0,494.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,5600.0,5600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +575,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-06-12 05:36:27.000000,2024-06-12 05:36:27,401.0,,156.0,17.0,73.0,35.0,110.0,744.0,Ternary plotting library for python with matplotlib.,28.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,232.0,200.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,17317.0,18222.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,94161.0,,,,,3.0,,35.0,,,,,,,,,,,,,,,,,, +576,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,137.0,137.0,91.0,42.0,67.0,670.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],243.0,231.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,13495.0,13495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-12-25 22:52:21.000000,2024-12-25 22:52:20,905.0,9.0,88.0,11.0,773.0,60.0,493.0,650.0,Automated modeling and machine learning framework FEDOT.,36.0,24,True,2024-08-28 11:07:57.000,0.7.4,23.0,fedot,,,,,60.0,55.0,https://pypi.org/project/fedot,2024-08-28 10:34:09.000,5.0,1377.0,1377.0,,,,,,,,2.0,,,aimclub/FEDOT,,,,,,,,,,,,,,,,, +578,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-12-16 20:38:04.000000,2024-12-16 20:38:03,1014.0,27.0,199.0,23.0,885.0,128.0,404.0,637.0,MONAI Label is an intelligent open source image labeling and learning tool.,65.0,24,True,2024-10-17 22:32:00.000,0.8.4,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,1687.0,4292.0,,,,,,,,3.0,,106822.0,,,,,,,,,,,,,,,,,, +579,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-09-18 15:23:28.852000,2024-07-23 14:46:53,413.0,,138.0,21.0,49.0,1.0,87.0,582.0,Medical image processing in Python.,20.0,24,False,2024-07-23 14:23:57.000,0.5.2,11.0,MedPy,conda-forge/medpy,,,,2477.0,2424.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,53.0,24106.0,25853.0,https://anaconda.org/conda-forge/medpy,2024-09-18 15:23:28.852,73404.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-10-28 02:06:34.000000,2024-10-21 13:56:46,3772.0,5.0,69.0,46.0,361.0,21.0,399.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,24,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],49.0,47.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,651.0,1148.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,18397.0,,,,,3.0,,16.0,,,,,,,,,,,,,,,,,, +581,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2024-12-09 16:13:36.000000,2024-11-13 16:44:08,2383.0,27.0,42.0,12.0,20.0,14.0,63.0,515.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,9.0,24,True,2024-08-14 15:06:05.000,4.8.0,80.0,hyperactive,,,,,49.0,36.0,https://pypi.org/project/hyperactive,2024-08-15 14:23:15.000,13.0,2596.0,2600.0,,,,,,,,2.0,,292.0,,,,,,,,,,,,,,,,,, +582,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,8.0,17.0,11.0,12.0,513.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],5130.0,5027.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2093168.0,2102318.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,933326.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-12-19 16:38:42.000000,2024-12-19 16:26:44,5687.0,29.0,93.0,18.0,779.0,11.0,446.0,454.0,Lightwood is Legos for Machine Learning.,49.0,24,False,2024-12-19 16:28:01.000,24.12.3.0,208.0,lightwood,,,,['pytorch'],80.0,78.0,https://pypi.org/project/lightwood,2024-12-19 16:38:42.000,2.0,5500.0,5500.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +584,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-12-25 07:49:33.909000,2024-02-11 00:53:13,766.0,,87.0,13.0,31.0,9.0,49.0,398.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,24,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,504.0,460.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,44.0,232280.0,234010.0,https://anaconda.org/conda-forge/pymap3d,2024-12-25 07:49:33.909,88239.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-12-01 03:22:23.000000,2024-12-01 03:22:22,686.0,12.0,65.0,29.0,497.0,15.0,91.0,376.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2024-09-25 14:29:32.000,4.1.0,41.0,vega,conda-forge/vega,,,['jupyter'],21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,11040.0,23443.0,https://anaconda.org/conda-forge/vega,2024-09-25 20:44:27.334,682180.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-08-02 00:43:48.000000,2024-08-02 00:21:15,339.0,,30.0,9.0,7.0,8.0,78.0,366.0,Multiple Imputation with LightGBM in Python.,8.0,24,True,2024-08-02 00:43:48.000,6.0.3,48.0,miceforest,conda-forge/miceforest,,,,191.0,182.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,63546.0,63950.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,16602.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +587,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,,607.0,145.0,1362.0,129.0,987.0,8024.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1396.0,1396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1434.0,262.0,69.0,133.0,137.0,6469.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +589,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-09-20 17:59:42.000000,2024-06-28 18:04:28,599.0,,753.0,108.0,590.0,107.0,345.0,6227.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,59.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,28089.0,28089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-12-02 21:29:39.000000,2024-12-02 21:29:38,1651.0,16.0,833.0,146.0,1590.0,387.0,403.0,5089.0,Simple and Distributed Machine Learning.,121.0,23,True,2024-10-16 04:14:37.000,1.0.8,58.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,320.0,75.0,37.0,95.0,76.0,4375.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,23,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,55.0,55.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,1583.0,1583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-11-09 18:55:21.000000,2024-11-09 18:55:20,708.0,21.0,489.0,216.0,22.0,25.0,4.0,3486.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,18.0,23,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,,16.0,16.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,413.0,413.0,,,,,,,,3.0,,57.0,,,,,,,,,,,,,,,,,, +593,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,,449.0,90.0,78.0,67.0,137.0,3389.0,Generate embeddings from large-scale graph-structured data.,32.0,23,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,277887.0,277890.0,,,,,,,,2.0,,217.0,,,,,,,,,,,,,,,,,, +594,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,233.0,54.0,36.0,75.0,126.0,3206.0,A GUI for Pandas DataFrames.,14.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],456.0,442.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,4417.0,5058.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,30171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,132.0,136.0,60.0,128.0,2409.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],68.0,66.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1795.0,1945.0,,,,,,,,3.0,,12901.0,,,,,,,,,,,,,,,,,, +596,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-07-17 19:00:35.000000,2024-07-17 19:00:21,2319.0,,247.0,40.0,39.0,7.0,115.0,2183.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,23,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,291.0,278.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,3926.0,4466.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,28647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +597,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,247.0,44.0,33.0,51.0,90.0,1997.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],189.0,189.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,4402.0,4402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1892.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],505.0,483.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1364.0,2679.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,57866.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,214.0,39.0,111.0,56.0,42.0,1729.0,"Large-scale linear classification, regression and ranking in Python.",17.0,23,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],171.0,165.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,6398.0,8858.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,246780.0,,,,,3.0,,726.0,,,,,,,,,,,,,,,,,, +600,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,296.0,43.0,801.0,72.0,485.0,1653.0,jiant is an nlp toolkit.,60.0,23,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,6.0,6.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-07-16 05:54:41.000000,2024-07-16 05:54:41,602.0,,303.0,56.0,118.0,54.0,31.0,1645.0,Interpretability and explainability of data and machine learning models.,41.0,23,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,108.0,107.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,867.0,867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +602,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-12-25 18:07:02.406000,2022-08-31 13:13:15,103.0,,91.0,39.0,15.0,12.0,27.0,1385.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],263.0,241.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,24690.0,24877.0,https://anaconda.org/conda-forge/jraph,2024-12-25 18:07:02.406,7117.0,,,,,2.0,,,google-deepmind/jraph,,,,,,,,,,,,,,,,, +603,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,,163.0,32.0,24.0,42.0,34.0,1295.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",13.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],69.0,69.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,954.0,954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-12-17 04:16:31.000000,2024-12-17 04:08:56,210.0,14.0,115.0,37.0,32.0,21.0,122.0,1272.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,15.0,23,True,2024-12-17 04:17:49.000,2.3.7,91.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,2837.0,2837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-11-27 18:53:38.157000,2024-01-04 20:41:21,582.0,,297.0,95.0,123.0,62.0,98.0,1060.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,23,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,1556.0,2982.0,https://anaconda.org/conda-forge/astroml,2024-11-27 18:53:38.157,49914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2024-08-14 00:01:42.000000,2023-11-17 10:59:26,412.0,,185.0,33.0,74.0,3.0,86.0,1052.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,False,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],241.0,232.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,6933.0,6933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-11-12 11:59:17.000000,2024-11-12 11:59:15,734.0,1.0,148.0,15.0,108.0,29.0,256.0,1023.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,23,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,27248.0,37474.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-11-05 13:05:27.561,552211.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +608,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-12-23 21:35:18.000000,2024-12-23 16:20:32,257.0,5.0,117.0,15.0,51.0,37.0,29.0,981.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,13.0,23,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,783.0,753.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,29843.0,45764.0,,,,,,,,3.0,,780131.0,,,,,,,,,,,,,,,,,, +609,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-10-17 08:47:41.000000,2024-10-17 08:43:32,431.0,2.0,143.0,21.0,87.0,7.0,72.0,955.0,An intuitive library to extract features from time series.,20.0,23,True,2024-09-12 10:50:23.000,0.1.9,13.0,tsfel,,,,,169.0,162.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,13155.0,13155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +610,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,110.0,26.0,36.0,35.0,69.0,880.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],704.0,692.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,16059.0,16059.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +611,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,85.0,14.0,77.0,221.0,218.0,872.0,"Experiment tracking, ML developer tools.",29.0,23,False,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,101.0,101.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,2855.0,2855.0,,,,,,,,3.0,,30.0,,,,,,,,,,,,,,,,,, +612,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2024-10-12 16:41:54.000000,2024-10-12 16:34:55,60.0,3.0,75.0,6.0,5.0,2.0,25.0,855.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,23,True,2024-10-12 16:41:54.000,0.1.9,8.0,iterative-stratification,,,,['sklearn'],540.0,525.0,https://pypi.org/project/iterative-stratification,2024-10-12 16:41:54.000,15.0,39752.0,39752.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-11-14 17:13:15.000000,2024-11-14 17:13:11,605.0,3.0,148.0,15.0,66.0,34.0,143.0,840.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,36.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,14661.0,19088.0,https://anaconda.org/conda-forge/pytorch_cluster,2024-08-28 13:26:28.147,243496.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +614,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-08-02 05:29:18.056000,2024-08-01 17:33:11,360.0,,119.0,17.0,84.0,21.0,38.0,718.0,Working with molecular structures in pandas DataFrames.,18.0,23,True,2024-08-01 17:35:04.000,0.5.1,21.0,biopandas,conda-forge/biopandas,,,['pandas'],356.0,318.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,8648.0,11907.0,https://anaconda.org/conda-forge/biopandas,2024-08-02 05:29:18.056,169515.0,,,,,3.0,,,BioPandas/biopandas,,,,,,,,,,,,,,,,, +615,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-09-11 16:24:06.000000,2024-09-11 10:27:00,921.0,,116.0,42.0,118.0,51.0,48.0,702.0,Bias Auditing & Fair ML Toolkit.,22.0,23,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,185.0,177.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,23792.0,23792.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-09-03 08:52:17.073000,2022-01-15 18:08:37,1718.0,,73.0,15.0,13.0,44.0,7.0,588.0,Pure-Python full-text search library.,42.0,23,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,404448.0,412921.0,https://anaconda.org/conda-forge/whoosh,2024-09-03 08:52:17.073,364343.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-11-25 23:37:09.000000,2024-11-25 23:37:07,715.0,52.0,18.0,23.0,396.0,51.0,89.0,338.0,Serverside scaling for Vega and Altair visualizations.,5.0,23,True,2024-11-25 13:17:12.000,2.0.1,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1853.0,11226.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-10-31 11:12:37.992,299715.0,,,,,3.0,,9186.0,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,29.0,,,,,,,,,,,, +618,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-12-20 16:08:35.000000,2024-12-19 08:19:35,1086.0,31.0,1340.0,113.0,541.0,51.0,714.0,13853.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",102.0,22,False,2024-12-18 09:11:42.000,2.4.1,100.0,pandas-ai,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,,, +619,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,,1543.0,151.0,53.0,46.0,12.0,10754.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,22,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],80.0,77.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,1127.0,1127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +620,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-08-06 12:05:27.000000,2023-01-15 11:37:16,279.0,,1074.0,126.0,109.0,180.0,357.0,5673.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,6.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,6.0,18861.0,18861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +621,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,,1253.0,308.0,211.0,66.0,220.0,5005.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1653.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143830.0,3.0,,,,,,,,,,,,,,,,,,,, +622,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2024-08-13 17:48:41.449000,2019-05-22 18:27:54,1118.0,,811.0,326.0,89.0,91.0,306.0,3873.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,106.0,127.0,https://anaconda.org/anaconda/neon,2024-08-13 17:48:41.449,1839.0,,,,,3.0,,421.0,,,,,,,,,,,,,,,,,, +623,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,490.0,84.0,180.0,113.0,161.0,3640.0,A high performance and generic framework for distributed DNN training.,21.0,22,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,3.0,3.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,156.0,176.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1361.0,3.0,,,,,,,,,,,,,,,,,,,, +624,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-11-26 03:12:32.000000,2024-11-26 03:09:31,1608.0,6.0,514.0,147.0,610.0,86.0,75.0,3575.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",171.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,676.0,74.0,53.0,179.0,101.0,3399.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,1541.0,1550.0,,,,,,,,3.0,,650.0,,,,,,,,,,,,,,,,,, +626,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,,329.0,54.0,414.0,82.0,106.0,3262.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],59.0,58.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,386.0,205.0,9.0,4.0,16.0,3136.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],164.0,162.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,2253.0,2253.0,,,,,,,,3.0,,,google-deepmind/trfl,,,,,,,,,,,,,,,,, +628,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-12-23 19:44:47.000000,2021-05-06 12:10:38,127.0,,157.0,48.0,73.0,2.0,31.0,3115.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,54.0,54.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,292.0,347.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1939.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +629,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,164.0,120.0,22.0,112.0,2941.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,22,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,11.0,11.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,238.0,43.0,110.0,80.0,64.0,2896.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,22,False,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,2870.0,2872.0,,,,,,,,3.0,,161.0,,,,,,,,,,,,,,,,,, +631,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-11-20 01:54:48.000000,2024-11-20 01:54:44,3462.0,1.0,727.0,7.0,34.0,406.0,855.0,2607.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",109.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,2624.0,2624.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,79.0,146.0,36.0,126.0,2388.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +633,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,296.0,64.0,78.0,65.0,68.0,2105.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],3.0,,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1589.0,1589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-12-10 06:15:26.000000,2024-12-10 06:15:26,1292.0,5.0,148.0,33.0,186.0,71.0,150.0,2042.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",31.0,22,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,278.0,289.0,,,,,,,,3.0,,612.0,,,,,,,,,,,,,,,,,, +635,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,,341.0,42.0,68.0,163.0,95.0,1875.0,Super easy library for BERT based NLP models.,37.0,22,True,2024-08-19 09:45:05.000,2.0.26,72.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,2054.0,2054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1801.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",336.0,325.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,2354.0,2354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,,197.0,30.0,424.0,11.0,163.0,1678.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,22,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,249.0,249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,200.0,38.0,7.0,15.0,33.0,1658.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],78.0,72.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,12605.0,12605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2024-06-27 16:05:09.000000,2023-03-23 14:35:34,422.0,,278.0,70.0,730.0,51.0,64.0,1600.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,806.0,1274.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,27666.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,51.0,312.0,98.0,18.0,1597.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,False,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,32645.0,32645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +641,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,,217.0,57.0,52.0,82.0,149.0,1574.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,1433.0,1462.0,,,,,,,,3.0,,2901.0,,,,,,,,,,,,,,,,,, +642,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,193.0,33.0,86.0,16.0,33.0,1456.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,False,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,96.0,95.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,548.0,548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +643,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,197.0,27.0,57.0,27.0,36.0,1314.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],185.0,180.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,460.0,460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-10-24 08:18:17.000000,2024-10-24 08:17:36,836.0,1.0,323.0,50.0,798.0,11.0,300.0,1214.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,1462.0,1462.0,,,,,,,,3.0,,21.0,,,,,,,,,,,,,,,,,, +645,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,,149.0,91.0,122.0,33.0,46.0,1207.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,118.0,117.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,486.0,486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,214.0,65.0,29.0,31.0,12.0,1192.0,Anomaly Detection and Correlation library.,9.0,22,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,83.0,81.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,10490.0,10490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,206.0,28.0,61.0,52.0,61.0,1079.0,fastFM: A Library for Factorization Machines.,20.0,22,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,130.0,127.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,1263.0,1269.0,,,,,,,,3.0,,788.0,,,,,,,,,,,,,,,,,, +648,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,90.0,20.0,73.0,18.0,45.0,1038.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,254.0,250.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,23343.0,23343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,,111.0,51.0,99.0,44.0,51.0,1019.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],268.0,257.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,4218.0,4218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,88.0,26.0,55.0,36.0,28.0,964.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,22,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,806.0,783.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,54477.0,56458.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,77272.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,,191.0,25.0,58.0,12.0,27.0,961.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],125.0,117.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,13183.0,13183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-09-11 20:07:00.000000,2024-02-01 21:38:56,330.0,,170.0,30.0,113.0,91.0,56.0,928.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,6072.0,49682.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2333239.0,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,402.0,,,,,,,,,,,, +653,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,17.0,82.0,925.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2473.0,2464.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1457.0,1457.0,,,,,,,,3.0,,32.0,,,,,,,,,,,,,,,,,, +654,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-12-17 19:11:53.000000,2024-12-17 19:10:41,298.0,3.0,251.0,46.0,18.0,11.0,92.0,866.0,Data compression in TensorFlow.,24.0,22,True,2024-08-07 20:25:13.000,2.17.0,26.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,2149.0,2149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2024-11-26 19:03:40.000000,2024-10-31 11:39:03,1235.0,1.0,134.0,24.0,594.0,63.0,511.0,852.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,2794.0,2794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,108.0,28.0,60.0,27.0,74.0,849.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,504.0,503.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,1947.0,1947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,147.0,25.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,5014.0,9274.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,351652.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,396.0,,,,,,,,,,,, +658,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-11-18 17:47:11.000000,2024-07-23 12:43:38,1508.0,,79.0,34.0,691.0,22.0,118.0,705.0,Scikit-learn style model finetuning for NLP.,23.0,22,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",15.0,13.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,87.0,21.0,9.0,25.0,41.0,693.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,22,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],488.0,478.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,29373.0,29402.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,3117.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2024-08-14 09:00:03.000000,2019-10-30 09:27:48,189.0,,83.0,21.0,12.0,,39.0,689.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,542.0,537.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,11315.0,11371.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,2430.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,109.0,26.0,23.0,66.0,35.0,612.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,512.0,487.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,8886.0,9300.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,19887.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-11-09 11:50:38.000000,2024-11-09 11:50:38,1794.0,13.0,75.0,10.0,220.0,49.0,83.0,568.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,24.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,40.0,39.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1107.0,1115.0,,,,,,,,3.0,,285.0,,,,,,,,,,,,,,,,,, +663,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-08-01 23:26:59.000000,2024-03-19 15:52:03,1216.0,,68.0,7.0,211.0,20.0,109.0,526.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],303.0,298.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2060.0,2060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-11-27 12:27:25.000000,2023-03-05 00:16:57,419.0,,109.0,36.0,277.0,85.0,174.0,496.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,91.0,89.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1200.0,1204.0,,,,,,,,3.0,,402.0,,,,,,,,,,,,,,,,,, +665,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2024-10-30 20:48:45.000000,2024-10-30 20:48:45,404.0,5.0,101.0,18.0,11.0,,50.0,463.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,22,True,2024-10-30 20:46:59.000,0.0.19,19.0,chefboost,,,,,64.0,64.0,https://pypi.org/project/chefboost,2024-10-30 20:46:59.000,,6663.0,6663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,,52.0,23.0,232.0,57.0,195.0,380.0,Studio: Simplify and expedite model building process.,24.0,22,False,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,7.0,7.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,1509.0,1509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-10-14 17:26:35.000000,2024-10-14 15:20:39,3847.0,3.0,60.0,28.0,110.0,33.0,184.0,375.0,scalable audio processing framework and server written in Python.,23.0,22,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,20.0,20.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +668,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,453.0,43.0,13.0,64.0,3.0,57.0,332.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,22,True,2024-06-13 05:28:35.000,2.0.11,36.0,ivis,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,1190.0,1190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,TorchUncertainty,ENSTA-U2IS-AI/torch-uncertainty,probabilistics,,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,Apache-2.0,2023-02-01 16:21:14.000,2024-12-26 12:20:41.000000,2024-11-19 09:38:40,1433.0,121.0,21.0,9.0,86.0,11.0,27.0,326.0,Open-source framework for uncertainty and deep learning models in PyTorch.,9.0,22,True,2024-11-18 09:39:34.000,0.3.1,16.0,torch-uncertainty,,,,['pytorch'],3.0,,https://pypi.org/project/torch-uncertainty,2024-11-18 09:39:34.000,3.0,788.0,788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +670,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,50.0,14.0,712.0,217.0,203.0,287.0,Asynchronous Distributed Hyperparameter Optimization.,34.0,22,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,121.0,113.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,788.0,788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,5.0,12.0,240.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1349.0,1292.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,87587.0,89373.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,89348.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,29.0,7.0,20.0,5.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2459.0,2415.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,131510.0,131510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,,2441.0,149.0,89.0,255.0,286.0,13795.0,End-to-End Object Detection with Transformers.,27.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,,634.0,93.0,152.0,100.0,102.0,8375.0,A collection of libraries to optimise AI model performances.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,598.0,598.0,,,,,,,,3.0,,,nebuly-ai/optimate,,,,,,,,,,,,,,,,, +675,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2024-11-26 11:06:14.000000,2024-11-26 10:38:20,194.0,1.0,1210.0,97.0,51.0,409.0,290.0,6708.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,34.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],22.0,22.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +676,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,782.0,225.0,25.0,8.0,122.0,5370.0,Build Graph Nets in Tensorflow.,11.0,21,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,912.0,912.0,,,,,,,,3.0,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,, +677,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,,820.0,229.0,111.0,57.0,622.0,4982.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,20.0,,,,,,,,3.0,,1540.0,,,,,,,,,,,,,,,,,, +678,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-12-18 16:08:09.000000,2024-12-18 16:08:09,151.0,1.0,746.0,103.0,35.0,107.0,113.0,4683.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,11.0,21,True,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5842.0,5845.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,264.0,3.0,,,,,,,,,,,,,,,,,,,, +679,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2024-11-06 15:17:48.000000,2024-11-06 15:17:44,957.0,1.0,581.0,170.0,47.0,35.0,28.0,4616.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,172.0,65.0,54.0,6.0,44.0,3094.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",22.0,21,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,6.0,6.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,596.0,597.0,,,,,,,,3.0,,53.0,,,,,,,,,,,,,,,,,, +681,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,331.0,71.0,2.0,19.0,7.0,2908.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],216.0,213.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1824.0,1824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +682,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,372.0,84.0,4.0,5.0,18.0,2225.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,51.0,51.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,54.0,35.0,16.0,105.0,2133.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,13169.0,13169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-08-15 19:08:06.000000,2024-08-15 19:08:06,312.0,,165.0,24.0,34.0,33.0,31.0,1987.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],33.0,32.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,594.0,760.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,5918.0,,,,,3.0,,129.0,,,,,,,,,,,,,,,,,, +685,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,,164.0,18.0,74.0,26.0,43.0,1852.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,21,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],37.0,37.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,1255.0,1255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-06-13 10:11:03.000000,2024-01-16 17:27:35,27.0,,106.0,39.0,31.0,30.0,79.0,1815.0,"A flexible, intuitive and fast forecasting library.",10.0,21,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,36.0,36.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,8590.0,8591.0,,,,,,,,3.0,,36.0,,,,,,,,,,,,,,,,,, +687,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,135.0,100.0,150.0,21.0,20.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,24.0,24.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,3586.0,3586.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,65.0,51.0,23.0,75.0,1503.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,37.0,37.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,418.0,418.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,351.0,61.0,47.0,37.0,71.0,1482.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],40.0,34.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,347.0,347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-11-22 18:05:50.000000,2024-11-22 17:35:27,783.0,4.0,187.0,19.0,264.0,88.0,94.0,1374.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,32443.0,32443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,221.0,64.0,48.0,40.0,90.0,1278.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],37.0,37.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,260.0,260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-08-01 11:53:43.000000,2020-04-17 02:27:44,79.0,,147.0,25.0,77.0,50.0,37.0,1108.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,21,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,252406.0,252570.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,9351.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,250.0,48.0,46.0,26.0,127.0,1079.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,483.0,483.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-06-27 20:02:41.000000,2024-06-27 20:02:41,240.0,,86.0,18.0,160.0,20.0,94.0,879.0,Bayesian active learning library for research and industrial usecases.,23.0,21,True,2024-06-11 15:50:56.000,2.0.0,21.0,baal,conda-forge/baal,,,,64.0,62.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,1636.0,1869.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,10973.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,161.0,37.0,46.0,43.0,49.0,839.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,111.0,102.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,652.0,652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-12-05 20:47:53.000000,2024-07-22 10:16:42,493.0,,117.0,34.0,561.0,211.0,246.0,789.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,21,True,2024-06-14 12:19:07.000,24.06.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,8126.0,8126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,25.0,162.0,51.0,62.0,771.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],67.0,63.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,637.0,637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,125.0,30.0,29.0,21.0,34.0,771.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,21,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],48.0,48.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,1297.0,1297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,141.0,25.0,19.0,26.0,5.0,745.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],682.0,674.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,52125.0,52300.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,8782.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,25.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,31367.0,31367.0,,,,,,,,3.0,,29.0,,,,,,,,,,,,,,,,,, +701,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,107.0,30.0,1.0,15.0,3.0,643.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",691.0,674.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,27744.0,27744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,636.0,torchbearer: A model fitting library for PyTorch.,14.0,21,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],98.0,94.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,50.0,29.0,12.0,13.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,237.0,229.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,32789.0,32789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,98.0,26.0,32.0,35.0,6.0,625.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],417.0,409.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,32231.0,32231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,315.0,609.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,67.0,66.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,410.0,410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2024-09-29 18:55:40.000000,2024-09-29 18:55:40,251.0,1.0,131.0,22.0,20.0,8.0,31.0,603.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,15.0,21,True,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],176.0,171.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,12857.0,12857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-11-24 18:42:07.000000,2024-11-24 18:38:45,703.0,29.0,66.0,24.0,10.0,17.0,45.0,600.0,Active Learning for Text Classification in Python.,9.0,21,True,2024-11-24 19:15:11.000,2.0.0.de1,23.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",33.0,33.0,https://pypi.org/project/small-text,2024-11-24 18:42:07.000,,564.0,948.0,https://anaconda.org/conda-forge/small-text,2024-08-18 16:37:29.577,11138.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,,90.0,7.0,20.0,9.0,95.0,596.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,21,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,81.0,79.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,45809.0,45809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2024-06-16 04:23:17.000000,2024-06-16 04:23:17,307.0,,106.0,9.0,15.0,6.0,16.0,589.0,Make Waffle Charts in Python.,6.0,21,True,2024-06-16 04:18:08.000,1.1.1,28.0,pywaffle,conda-forge/pywaffle,,,,451.0,445.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,10488.0,10685.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,14233.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,26.0,31.0,5.0,24.0,574.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,53.0,51.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,2325.0,2325.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2024-12-03 23:28:10.000000,2024-12-03 23:20:00,773.0,2.0,65.0,17.0,116.0,8.0,48.0,572.0,A simplified framework and utilities for PyTorch.,23.0,21,False,2024-12-03 23:22:07.000,1.17.3,39.0,poutyne,,,,['pytorch'],149.0,144.0,https://pypi.org/project/poutyne,2024-12-03 23:22:26.000,5.0,2749.0,2749.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,59.0,10.0,21.0,16.0,37.0,571.0,Joyplots in Python with matplotlib & pandas.,8.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,491.0,482.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,11296.0,11717.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,29083.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,169.0,56.0,20.0,39.0,60.0,549.0,Bayesian inference in HSMMs and HMMs.,13.0,21,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,35.0,34.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +714,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,25.0,9.0,9.0,2.0,9.0,431.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],2232.0,2188.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,44.0,318926.0,318926.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +715,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,12.0,48.0,49.0,417.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,143.0,140.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,2230.0,2230.0,,,,,,,,3.0,,105.0,,,,,,,,,,,,,,,,,, +716,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,49.0,17.0,2.0,12.0,3.0,383.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,21,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,545.0,537.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,19874.0,19874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,,90.0,29.0,319.0,76.0,27.0,377.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,21,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,36305.0,36305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,49.0,11.0,37.0,29.0,37.0,356.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,260.0,244.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,3227.0,3227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-12-24 15:58:27.000000,2024-12-18 10:41:18,811.0,23.0,25.0,5.0,303.0,5.0,,322.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,21,True,2024-12-18 10:41:39.000,1.2.28,865.0,upgini,,,,,9.0,9.0,https://pypi.org/project/upgini,2024-12-24 13:46:31.000,,11411.0,11411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",21.0,19.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,491212.0,491212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-12-22 00:12:18.000000,2024-11-07 18:17:34,501.0,9.0,107.0,20.0,568.0,58.0,130.0,272.0,An open-source toolkit for large-scale genomic analysis.,28.0,21,False,2024-10-20 03:22:37.000,2.0.3,17.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,41652.0,41775.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,5586.0,,,,,3.0,,124.0,,,,,,,,,,,,,,,,,, +722,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-12-04 18:38:14.000000,2023-07-02 18:02:16,1462.0,,50.0,15.0,223.0,22.0,64.0,252.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,52.0,46.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,420.0,420.0,,,,,,,,3.0,,,predict-idlab/pyRDF2Vec,,,,,,,,,,,,,,,,, +723,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,,1730.0,20.0,19.0,72.0,24.0,5149.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,1464.0,1464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,102.0,16.0,53.0,17.0,3427.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,166.0,159.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,779.0,779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,322.0,58.0,242.0,176.0,111.0,3233.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,False,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,1892.0,1903.0,,,,,,,,3.0,,701.0,,,,,,,,,,,,,,,,,, +726,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,405.0,101.0,54.0,55.0,48.0,2947.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,807.0,807.0,,,,,,,,3.0,,,rhsimplex/image-match,,,,,,,,,,,,,,,,, +727,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2862.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,831.0,85.0,30.0,46.0,80.0,2694.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,75.0,75.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,600.0,600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,462.0,127.0,225.0,90.0,183.0,2336.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,182.0,55.0,895.0,129.0,586.0,1940.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",52.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,16.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1060.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,,281.0,31.0,41.0,35.0,176.0,1907.0,A library for graph deep learning research.,50.0,20,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,461.0,461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,118.0,38.0,11.0,39.0,51.0,1637.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1228.0,1228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,292.0,67.0,202.0,5.0,74.0,1593.0,DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects:..,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],2.0,2.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,63.0,259.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13159.0,3.0,,,,,,,,,,,,,,,,,,,, +734,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,101.0,36.0,13.0,24.0,1432.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,98.0,39.0,13.0,15.0,9.0,1273.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,176.0,174.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,2279.0,2279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-12-15 17:30:26.000000,2024-12-15 17:30:23,439.0,1.0,205.0,63.0,7.0,13.0,29.0,1176.0,Python AutoML for Trading Systems and Sports Betting.,5.0,20,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,6.0,6.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,731.0,731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,142.0,17.0,11.0,43.0,43.0,1105.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,20,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],177.0,172.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,5482.0,5482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,57.0,14.0,30.0,19.0,1030.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,188.0,186.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,538.0,764.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,9719.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,183.0,52.0,12.0,16.0,42.0,1004.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],89.0,85.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,131.0,36.0,16.0,9.0,4.0,926.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3647.0,3642.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,539.0,539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2024-09-03 22:24:30.000000,2023-06-05 01:35:02,228.0,,129.0,18.0,25.0,28.0,40.0,847.0,python partial dependence plot toolbox.,7.0,20,False,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,12919.0,13262.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,22318.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,36.0,33.0,26.0,39.0,766.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,117.0,117.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,820.0,820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-12-16 23:31:08.000000,2024-08-07 21:38:41,314.0,,104.0,5.0,3.0,1.0,,727.0,Data Analysis Baseline Library.,24.0,20,True,2024-12-16 23:31:08.000,0.3.2,20.0,dabl,,,,['sklearn'],3.0,,https://pypi.org/project/dabl,2024-12-16 23:31:08.000,3.0,5165.0,5165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-07-30 21:34:45.000000,2021-09-16 17:56:31,171.0,,150.0,34.0,84.0,16.0,55.0,634.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],31.0,28.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2024-07-25 11:20:23.000000,2022-02-09 16:35:40,142.0,,102.0,23.0,26.0,46.0,61.0,616.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],188.0,186.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,2931.0,3058.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,5342.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2024-10-22 13:32:17.000000,2024-08-18 17:07:49,821.0,,42.0,15.0,18.0,,22.0,610.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,20,True,2024-08-18 17:19:42.000,3.1.4,28.0,opytimizer,,,,,19.0,19.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,405.0,405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,14.0,22.0,568.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,20,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,40.0,36.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,554.0,Python library assists deep learning on graphs.,18.0,20,False,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,122.0,120.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,482.0,482.0,,,,,,,,3.0,,15.0,,,,,,,,,,,,,,,,,, +749,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-07-09 19:44:12.000000,2024-05-11 10:43:02,331.0,,101.0,26.0,8.0,1.0,33.0,527.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,20,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,30.0,27.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,5812.0,5812.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +750,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,109.0,19.0,57.0,27.0,21.0,501.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,90.0,82.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2774.0,2774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2024-08-20 18:39:53.000000,2021-11-18 21:06:54,172.0,,48.0,9.0,10.0,13.0,21.0,499.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,169.0,161.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,5691.0,5691.0,,,,,,,,3.0,,31.0,,,,,,,,,,,,,,,,,, +752,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-09-23 04:22:16.000000,2023-07-18 10:24:07,542.0,,36.0,14.0,226.0,15.0,40.0,499.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,False,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",24.0,22.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,10383.0,10387.0,,,,,,,,3.0,2.0,249.0,,,,,,,,,,,,,,,,,, +753,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,,98.0,28.0,34.0,41.0,15.0,482.0,A python library for Bayesian time series modeling.,7.0,20,True,2024-08-13 04:20:08.000,0.1.1.13,15.0,pydlm,,,,,39.0,37.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,31842.0,31842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +754,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-12-15 20:28:11.000000,2024-09-24 15:52:47,3054.0,,64.0,12.0,272.0,11.0,112.0,445.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,25.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +755,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-09-06 09:28:23.000000,2024-09-06 09:27:10,824.0,,26.0,9.0,78.0,33.0,23.0,406.0,Flexible time series feature extraction & processing.,6.0,20,True,2024-09-06 09:28:53.000,0.4.1,38.0,tsflex,conda-forge/tsflex,,,,19.0,17.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,1000.0,1692.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,28400.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-12-11 01:00:10.000000,2024-12-09 21:58:06,405.0,6.0,137.0,34.0,333.0,89.0,138.0,344.0,Brain Imaging Analysis Kit.,35.0,20,True,2019-08-27 23:52:29.000,0.9.1,20.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2024-12-11 01:00:10.000,,3578.0,3595.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1885.0,3.0,,,,,,,,,,,,,,,,,,,, +757,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],267.0,267.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2872.0,2872.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,26.0,22.0,239.0,24.0,25.0,301.0,Textpipe: clean and extract metadata from text.,29.0,20,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,11.0,10.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2024-12-14 22:06:19.000000,2024-12-14 21:35:00,526.0,2.0,59.0,14.0,91.0,27.0,40.0,289.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,20,False,2024-12-14 22:06:19.000,1.2.1,9.0,omlt,,,,,26.0,22.0,https://pypi.org/project/omlt,2024-12-14 22:06:19.000,4.0,17114.0,17114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-10-17 15:32:02.000000,2024-10-17 15:32:02,431.0,4.0,77.0,21.0,447.0,28.0,51.0,276.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,32.0,20,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,5.0,5.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-09-13 04:58:28.982000,2024-01-18 11:58:51,626.0,,69.0,28.0,32.0,34.0,113.0,268.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1715.0,4467.0,https://anaconda.org/conda-forge/somoclu,2024-09-13 04:58:28.982,136771.0,,,,,3.0,,2081.0,,,,,,,,,,,,,,,,,, +762,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-10-28 07:18:15.000000,2024-10-28 07:18:14,592.0,1.0,35.0,24.0,645.0,21.0,130.0,244.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2024-06-21 06:39:45.000,0.16.0,21.0,larq-compute-engine,,,,,10.0,10.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,2093.0,2114.0,,,,,,,,3.0,,1244.0,,,,,,,,,,,,,,,,,, +763,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,,24.0,8.0,15.0,4.0,11.0,227.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2024-09-26 08:36:59.000,0.2.4,12.0,numerizer,,,,,98.0,95.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,20665.0,20665.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-08-01 08:27:07.000000,2024-08-01 08:10:33,265.0,,33.0,11.0,202.0,21.0,76.0,211.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",13.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],45.0,44.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1514.0,1514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,785.0,335.0,58.0,2.0,,6806.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,19,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,146.0,153.0,,,,,,,,3.0,,395.0,,,,,,,,,,,,,,,,,, +766,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,279.0,31.0,22.0,34.0,37.0,3259.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,2419.0,2419.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,179.0,24.0,20.0,19.0,30.0,1740.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,9.0,9.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,173.0,174.0,,,,,,,,3.0,,50.0,,,,,,,,,,,,,,,,,, +768,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,156.0,46.0,3.0,13.0,15.0,1534.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],32.0,32.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,998.0,998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,257.0,56.0,65.0,8.0,31.0,1388.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,4.0,4.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,174.0,44.0,5.0,4.0,7.0,1139.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,35.0,35.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-12-20 12:32:52.000000,2024-12-20 12:31:21,296.0,6.0,63.0,15.0,63.0,9.0,22.0,1065.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",18.0,19,True,2024-12-20 12:32:52.000,3.1.0,36.0,uform,,,,['pytorch'],8.0,6.0,https://pypi.org/project/uform,2024-12-20 12:32:52.000,2.0,771.0,793.0,,,,,,,,3.0,,496.0,,,,,,,,,,,,,,,,,, +772,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,181.0,19.0,42.0,28.0,60.0,924.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,199.0,196.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,464.0,664.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,10442.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,233.0,30.0,38.0,43.0,21.0,865.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,2944.0,2944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,64.0,69.0,859.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,103.0,102.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2024-06-27 07:32:19.000000,2024-06-27 07:26:43,298.0,,91.0,23.0,51.0,20.0,17.0,857.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2024-06-18 06:17:13.000,0.2.17,23.0,evojax,conda-forge/evojax,,,['jax'],33.0,27.0,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,1528.0,2494.0,https://anaconda.org/conda-forge/evojax,2024-06-18 11:07:15.191,32845.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-10-23 17:51:18.000000,2024-09-30 12:29:20,1251.0,1.0,126.0,30.0,1059.0,37.0,54.0,771.0,Machine learning framework for both deep learning and traditional algorithms.,40.0,19,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,2.0,2.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,,115.0,21.0,27.0,3.0,87.0,740.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,19,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,11440.0,11440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,,102.0,26.0,49.0,15.0,54.0,734.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,31.0,29.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,343.0,343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,26.0,4.0,39.0,42.0,695.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,19,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,4.0,4.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,1204.0,1204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2024-10-23 06:29:06.515000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,592.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,False,2020-11-15 13:40:18.000,0.4.2,16.0,baikal,conda-forge/cython-blis,,,,15.0,14.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,416.0,46744.0,https://anaconda.org/conda-forge/cython-blis,2024-10-23 06:29:06.515,2362744.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,16.0,572.0,A library of metrics for evaluating recommender systems.,20.0,19,False,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,61.0,61.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,3989.0,3989.0,,,,,,,,3.0,,8.0,,,,,,,,,,,,,,,,,, +782,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,138.0,55.0,72.0,18.0,71.0,529.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,24.0,24.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-07-19 18:49:00.000000,2024-07-19 16:10:42,70.0,,55.0,18.0,10.0,4.0,18.0,527.0,Topological Data Analysis for Python.,6.0,19,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,,['sklearn'],65.0,65.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1207.0,1207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-12-18 08:30:19.000000,2024-11-26 14:53:35,988.0,1.0,95.0,32.0,100.0,18.0,27.0,484.0,A Python implementation of active inference for Markov Decision Processes.,18.0,19,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,14.0,14.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,6645.0,6645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,40.0,66.0,471.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",56.0,56.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,779.0,779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,73.0,25.0,48.0,18.0,19.0,415.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,4150.0,4580.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,35759.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2024-09-01 04:12:59.669000,2024-08-29 18:18:33,183.0,,38.0,9.0,32.0,17.0,20.0,412.0,A python package for animating plots build on matplotlib.,6.0,19,True,2024-08-29 18:26:55.000,0.4.3,11.0,animatplot,conda-forge/animatplot,,,,66.0,62.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,395.0,703.0,https://anaconda.org/conda-forge/animatplot,2024-09-01 04:12:59.669,15403.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-12-20 19:50:28.000000,2024-12-18 11:19:05,330.0,3.0,79.0,25.0,353.0,26.0,10.0,345.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,19,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,1679.0,1679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,341.0,Camphr - NLP libary for creating pipeline components.,8.0,19,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],17.0,15.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,1662.0,1662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,54.0,11.0,60.0,17.0,41.0,334.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,19,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,44.0,40.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,37.0,18.0,6.0,19.0,21.0,315.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,19,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],3.0,,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,1750.0,1750.0,,,,,,,,3.0,,,google-deepmind/launchpad,,,,,,,,,,,,,,,,, +792,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,20.0,18.0,464.0,90.0,76.0,237.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],86.0,76.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,5089.0,5089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,450.0,448.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,828.0,832.0,,,,,,,,3.0,,430.0,,,,,,,,,,,,,,,,,, +794,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,112.0,51.0,46.0,160.0,6309.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-12-20 15:56:56.000000,2024-12-18 07:50:39,715.0,12.0,439.0,39.0,871.0,149.0,119.0,3371.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,90.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,416.0,106.0,83.0,67.0,48.0,2996.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,99.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,60.0,106.0,27.0,56.0,2141.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,18,False,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],,,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1150.0,1150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,457.0,80.0,36.0,83.0,68.0,1702.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,55.0,34.0,22.0,13.0,1268.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,18,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,4.0,3.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,33.0,72.0,31.0,30.0,1109.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,18,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,4969.0,4969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,85.0,13.0,35.0,3.0,25.0,822.0,Leave One Feature Out Importance.,6.0,18,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,39.0,35.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,3833.0,3833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,175.0,33.0,15.0,19.0,22.0,781.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,17.0,21.0,29.0,50.0,675.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,5.0,5.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,481.0,481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +804,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,71.0,13.0,10.0,26.0,41.0,571.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,54.0,54.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,855.0,855.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,,69.0,7.0,6.0,4.0,32.0,567.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,22.0,20.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,2117.0,2117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +806,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,22.0,19.0,6.0,20.0,490.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],15.0,15.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,827.0,827.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,,105.0,13.0,130.0,18.0,138.0,482.0,A Python library for dynamic classifier and ensemble selection.,17.0,18,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,3222.0,3222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-09-18 17:05:04.000,0.12.2,50.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,4006.0,4006.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,85.0,20.0,248.0,10.0,23.0,427.0,A toolkit that streamlines and automates the generation of model cards.,22.0,18,False,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,2092.0,2092.0,,,,,,,,3.0,,29.0,,,,,,,,,,,,,,,,,, +810,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,60.0,8.0,12.0,11.0,18.0,408.0,TextAugment: Text Augmentation Library.,8.0,18,False,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,144.0,140.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,5246.0,5247.0,,,,,,,,3.0,,129.0,,,,,,,,,,,,,,,,,, +811,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,,38.0,12.0,1.0,2.0,80.0,407.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],8.0,8.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,1548.0,1548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,7.0,7.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,507.0,507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,59.0,30.0,32.0,295.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],5.0,5.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,163.0,166.0,,,,,,,,3.0,,206.0,,,,,,,,,,,,,,,,,, +814,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-09-03 22:45:13.000000,2024-03-27 08:46:27,190.0,,41.0,19.0,4.0,10.0,8.0,287.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,18,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],12.0,12.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,1145.0,5986.0,https://anaconda.org/conda-forge/deepgraph,2024-07-11 16:39:33.824,242097.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +815,solt,Oulu-IMEDS/solt,image,,https://github.com/imedslab/solt,https://github.com/imedslab/solt,MIT,2018-08-02 15:09:05.000,2024-11-22 00:27:00.000000,2024-11-22 00:26:52,380.0,1.0,20.0,6.0,33.0,20.0,44.0,265.0,Streaming over lightweight data transformations.,6.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,63.0,60.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,546.0,546.0,,,,,,,,3.0,,,imedslab/solt,,,,,,,,,,,,,,,,, +816,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,10.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,18,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],17.0,17.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,36703.0,36703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,9.0,44.0,233.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,33.0,31.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2024-06-30 08:01:08.000000,2024-06-30 08:01:08,6.0,,57.0,5.0,2.0,3.0,1.0,134.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,10176.0,10047.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,300379.0,300410.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1284.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1349.0,467.0,21.0,59.0,167.0,7149.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,google-deepmind/lab,,,,,,,,,,,,,,,,, +820,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2024-12-20 23:39:26.000000,2024-12-03 12:26:16,792.0,1.0,71.0,28.0,1017.0,127.0,65.0,1649.0,Version control for machine learning.,18.0,17,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,255.0,52.0,13.0,20.0,13.0,1551.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,121.0,140.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1701.0,3.0,,,,,,,,,,,,,,,,,,,, +822,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,17.0,11.0,25.0,18.0,1163.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],59.0,57.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,424.0,424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,110.0,19.0,37.0,20.0,8.0,1041.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,87.0,86.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,37.0,12.0,13.0,8.0,16.0,799.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],48.0,48.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,555.0,656.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,3843.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,57.0,15.0,10.0,26.0,17.0,781.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,61.0,61.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,102.0,20.0,58.0,2.0,13.0,779.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,7456.0,7456.0,,,,,,,,3.0,,48.0,,,,,,,,,,,,,,,,,, +827,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,103.0,24.0,101.0,37.0,84.0,705.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,305.0,312.0,,,,,,,,3.0,,562.0,,,,,,,,,,,,,,,,,, +828,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,18.0,19.0,5.0,29.0,643.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,19.0,19.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,107.0,71.0,7.0,15.0,19.0,433.0,semantic similarity framework for knowledge graph.,10.0,17,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,49.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,,38.0,21.0,5.0,11.0,23.0,353.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,177.0,177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,61.0,31.0,47.0,243.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],22.0,18.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-07-02 00:10:02.000000,2024-06-01 12:08:31,372.0,,37.0,6.0,134.0,,35.0,225.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,1709.0,1821.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3932.0,,,,,3.0,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,, +833,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-06-06 14:34:14.000000,2024-06-06 14:27:44,864.0,,17.0,8.0,184.0,11.0,23.0,154.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,8697.0,8697.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,31.0,53.0,7.0,7.0,108.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],52.0,52.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,295.0,295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,123.0,24.0,17.0,353.0,4365.0,An Open-Source Package for Neural Relation Extraction (NRE).,14.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,531.0,176.0,110.0,56.0,149.0,3950.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,138.0,28.0,217.0,102.0,2902.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],2.0,2.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,170.0,61.0,10.0,26.0,6.0,1857.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,58.0,58.0,,,,,,,,3.0,,52.0,,,,,,,,,,,,,,,,,, +839,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,117.0,20.0,295.0,3.0,70.0,1081.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,False,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,7.0,7.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,57.0,17.0,7.0,,10.0,803.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,,['pytorch'],94.0,93.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,2831.0,2831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,112.0,28.0,10.0,25.0,51.0,799.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1126.0,1126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,85.0,16.0,15.0,10.0,22.0,737.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],23.0,23.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2018-12-28 23:37:03.000000,,,,150.0,,,51.0,,718.0,Tensorflow wrapper for DataFrames on Apache Spark.,9.0,16,False,2018-05-16 14:20:28.000,0.2.9,2.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,11227.0,11227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,127.0,43.0,435.0,25.0,130.0,716.0,GPU accelerated signal processing.,46.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,38.0,24.0,4.0,4.0,2.0,685.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],9.0,7.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,39.0,106.0,12.0,51.0,550.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,16,False,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,120.0,123.0,,,,,,,,3.0,,251.0,typedb/typedb-ml,,,,,,,,,,,,,,,,, +847,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,,42.0,21.0,171.0,6.0,65.0,520.0,A collection of tools for neural compression enthusiasts.,10.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,,66.0,19.0,101.0,19.0,15.0,495.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,4.0,4.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,396.0,396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,413.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,5.0,4.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,397.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],12.0,12.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,32.0,23.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,90.0,90.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,18.0,93.0,30.0,18.0,319.0,"pandas, scikit-learn, xgboost and seaborn integration.",5.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,2521.0,2521.0,,,,,,,,3.0,,12.0,,,,,,,,,,,,,,,,,, +853,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,46.0,1.0,,,,224.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,929.0,929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,13.0,9.0,2.0,,5.0,208.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],12.0,10.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,456.0,456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,19.0,5.0,2.0,17.0,23.0,195.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],14.0,14.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,1457.0,1457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,13.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,64.0,59.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,420.0,144.0,72.0,12.0,53.0,2213.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,232.0,39.0,40.0,73.0,34.0,1177.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,,119.0,30.0,111.0,14.0,25.0,1096.0,An autoML framework & toolkit for machine learning on graphs.,16.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,123.0,48.0,22.0,15.0,9.0,855.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],18.0,18.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,43.0,667.0,28.0,27.0,828.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,57.0,16.0,83.0,18.0,49.0,612.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,514.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,13.0,13.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,600.0,600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-10-29 16:15:42.000000,2024-09-28 19:49:30,81.0,1.0,61.0,16.0,68.0,7.0,9.0,444.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,12.0,12.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,,53.0,10.0,17.0,10.0,29.0,420.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,15,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,698.0,698.0,,,,,,,,3.0,,20.0,,,,,,,,,,,,,,,,,, +866,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,69.0,19.0,177.0,87.0,16.0,419.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,55.0,18.0,6.0,6.0,,399.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,12.0,11.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,83.0,224.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,7493.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,12.0,17.0,2.0,5.0,376.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,319.0,319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,311.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],28.0,28.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,64.0,181.0,298.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,243.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,15,False,2021-04-20 13:53:12.000,0.1.2,16.0,backprop,,,,,4.0,4.0,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,683.0,683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,72.0,31.0,8.0,231.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,8.0,7.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,619.0,619.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,26.0,10.0,15.0,9.0,4.0,224.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,627.0,627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,28.0,5.0,5.0,6.0,5.0,197.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,23.0,parfit,,,,['sklearn'],29.0,29.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,565.0,565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-12-23 18:24:49.000000,,,,,,,,,,Supercharging Machine Learning.,,15,True,2024-12-16 00:50:08.000,3.47.5,304.0,comet_ml,comet_ml,,,,83.0,,https://pypi.org/project/comet_ml,2024-12-23 18:24:49.000,83.0,316710.0,316710.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,1000.0,64.0,13.0,45.0,26.0,3751.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,,843.0,78.0,35.0,120.0,59.0,3443.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,67.0,26.0,10.0,97.0,1692.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,23.0,42.0,85.0,1314.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2024-06-14 21:18:09.000000,2024-06-14 21:18:09,16.0,,153.0,32.0,,53.0,60.0,1238.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,True,,,4.0,,milagraph/graphvite,,,,,,,,,,78.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,5013.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,708.0,2302.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,84505.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,11.0,8.0,10.0,3.0,349.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,2034.0,2034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,,11.0,9.0,15.0,2.0,7.0,278.0,A Jax-based library for designing and training transformer models from scratch.,3.0,14,False,2024-08-28 20:41:08.000,0.0.0,8.0,nanodl,,,,['jax'],2.0,2.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,29.0,9.0,6.0,8.0,8.0,254.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,14,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,4.0,4.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,36.0,14.0,18.0,27.0,18.0,125.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,3.0,3.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,43.0,43.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,103.0,28.0,28.0,357.0,3880.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,484.0,108.0,12.0,39.0,8.0,2710.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,86.0,48.0,4.0,3.0,,2575.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1394.0,1396.0,,,,,,,,3.0,,80.0,,,,,,,,,,,,,,,,,, +891,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,174.0,37.0,10.0,13.0,3.0,1372.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,,48.0,11.0,11.0,3.0,16.0,787.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,13,True,,,,rliable`,,,,,172.0,172.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,,16.0,11.0,58.0,4.0,20.0,292.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-12-19 13:05:21.000000,2022-11-21 12:12:41,1044.0,,12.0,7.0,26.0,1.0,2.0,267.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,211.0,217.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,281.0,3.0,,11.0,,,,,,,,,,,,,,,,,, +895,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,28.0,21.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,,26.0,8.0,17.0,4.0,6.0,193.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],6.0,6.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,127.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,268.0,277.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,693.0,3.0,,,,,,,,,,,,,,,,,,,, +898,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,122.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",6.0,6.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,6.0,14.0,106.0,A spaCy wrapper for DBpedia Spotlight.,5.0,13,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,7800.0,7800.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,13,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,3.0,3.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,44.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,3.0,3.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,585.0,585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,8.0,8.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +903,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,412.0,63.0,6.0,66.0,17.0,1964.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,327.0,90.0,11.0,12.0,6.0,1786.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,539.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,5.0,5.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,26.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],3.0,3.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,,7.0,7.0,127.0,9.0,9.0,124.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,12,False,2024-09-17 10:36:38.000,0.2.8,10.0,,,,,['jax'],8.0,8.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +908,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,112.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,6.0,6.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,112.0,112.0,,,,,,,,3.0,,,genixpro/hypermax,,,,,,,,,,,,,,,,, +909,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,12.0,13.0,26.0,4.0,13.0,86.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,75.0,75.0,,,,,,,,3.0,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,, +910,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,,458.0,93.0,22.0,52.0,15.0,3268.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,116.0,44.0,13.0,7.0,20.0,951.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,146.0,39.0,7.0,19.0,14.0,919.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,366.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,90.0,17.0,5.0,4.0,12.0,627.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,51.0,16.0,13.0,14.0,11.0,530.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +916,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,9.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,4.0,4.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +917,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,149.0,Python package to generate stock portfolios.,4.0,9,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,2.0,2.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +918,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",2.0,2.0,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +919,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,,8.0,8.0,2.0,1.0,,68.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,35.0,35.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 98d15cf..5e256c2 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- Tensorflow (πŸ₯‡57 Β· ⭐ 190K Β· πŸ“ˆ) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- jax (πŸ₯‡46 Β· ⭐ 31K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- Plotly (πŸ₯‡46 Β· ⭐ 16K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT -- scikit-image (πŸ₯‡42 Β· ⭐ 6.1K Β· πŸ“ˆ) - Image processing in Python. ❗Unlicensed -- flair (πŸ₯‡41 Β· ⭐ 14K Β· πŸ“ˆ) - A very simple framework for state-of-the-art Natural Language.. MIT -- PyFlink (πŸ₯ˆ40 Β· ⭐ 24K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 -- folium (πŸ₯‡40 Β· ⭐ 7K Β· πŸ“ˆ) - Python Data. Leaflet.js Maps. MIT -- sktime (πŸ₯‡39 Β· ⭐ 8K Β· πŸ“ˆ) - A unified framework for machine learning with time series. BSD-3 -- Kornia (πŸ₯ˆ38 Β· ⭐ 10K Β· πŸ“ˆ) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- carla (πŸ₯‡37 Β· ⭐ 12K Β· πŸ“ˆ) - Open-source simulator for autonomous driving research. MIT +- Milvus (πŸ₯‡42 Β· ⭐ 32K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database.. Apache-2 +- PyVista (πŸ₯ˆ38 Β· ⭐ 2.8K Β· πŸ“ˆ) - 3D plotting and mesh analysis through a streamlined interface.. MIT +- Pydub (πŸ₯‡36 Β· ⭐ 9K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +- PyOD (πŸ₯ˆ36 Β· ⭐ 8.7K Β· πŸ“ˆ) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2 +- stanza (πŸ₯ˆ34 Β· ⭐ 7.3K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 +- tensorly (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ“ˆ) - TensorLy: Tensor Learning in Python. BSD-2 +- Qlib (πŸ₯ˆ31 Β· ⭐ 16K Β· πŸ“ˆ) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +- Cornac (πŸ₯ˆ28 Β· ⭐ 900 Β· πŸ“ˆ) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +- stockstats (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ“ˆ) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +- Popmon (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- Seaborn (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“‰) - Statistical data visualization in Python. BSD-3 -- dgl (πŸ₯‡37 Β· ⭐ 14K Β· πŸ“‰) - Python package built to ease deep learning on graph, on top of.. Apache-2 -- pandas-profiling (πŸ₯ˆ37 Β· ⭐ 13K Β· πŸ“‰) - 1 Line of code data quality profiling & exploratory.. MIT -- Jina (πŸ₯ˆ36 Β· ⭐ 21K Β· πŸ“‰) - Build multimodal AI applications with cloud-native stack. Apache-2 -- ArcGIS API (πŸ₯ˆ36 Β· ⭐ 1.9K Β· πŸ“‰) - Documentation and samples for ArcGIS API for Python. Apache-2 -- Fiona (πŸ₯ˆ36 Β· ⭐ 1.2K Β· πŸ“‰) - Fiona reads and writes geographic data files. BSD-3 -- einops (πŸ₯ˆ35 Β· ⭐ 8.6K Β· πŸ“‰) - Flexible and powerful tensor operations for readable and reliable code.. MIT -- tensorly (πŸ₯ˆ31 Β· ⭐ 1.6K Β· πŸ“‰) - TensorLy: Tensor Learning in Python. BSD-2 -- NMSLIB (πŸ₯‰30 Β· ⭐ 3.4K Β· πŸ“‰) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- Popmon (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT +- Tensorflow (πŸ₯‡55 Β· ⭐ 190K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 +- pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 29K Β· πŸ“‰) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 +- litellm (πŸ₯‡43 Β· ⭐ 15K Β· πŸ“‰) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +- nltk (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“‰) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +- pydeck (πŸ₯‡42 Β· ⭐ 12K Β· πŸ“‰) - WebGL2 powered visualization framework. MIT +- Altair (πŸ₯‡42 Β· ⭐ 9.5K Β· πŸ“‰) - Declarative visualization library for Python. BSD-3 +- yfinance (πŸ₯‡41 Β· ⭐ 15K Β· πŸ“‰) - Download market data from Yahoo! Finances API. Apache-2 +- Fastai (πŸ₯ˆ40 Β· ⭐ 26K Β· πŸ“‰) - The fastai deep learning library. Apache-2 +- PyTorch Geometric (πŸ₯‡40 Β· ⭐ 22K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +- plotnine (πŸ₯ˆ35 Β· ⭐ 4.1K Β· πŸ“‰) - A Grammar of Graphics for Python. MIT