Updated: 2022-04-10 / Tips:English projects refer to those with documents in English, usually displayed in the readme / wiki / official website.
# | Repository | Description | Stars | Average daily growth | Updated |
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1 | microsoft/ML-For-Beginners | 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all | 30209 | 75 | 2022-04-07 |
2 | microsoft/Data-Science-For-Beginners | 10 Weeks, 20 Lessons, Data Science for All! | 10022 | 25 | 2022-04-01 |
3 | GokuMohandas/MadeWithML | Learn how to responsibly deliver value with ML. | 29859 | 24 | 2022-04-08 |
4 | AkashSingh3031/The-Complete-FAANG-Preparation | This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview q ... | 7424 | 23 | 2022-04-02 |
5 | williamyang1991/DualStyleGAN | [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer | 618 | 22 | 2022-03-25 |
6 | DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 3498 | 20 | 2022-04-04 |
7 | fastai/fastbook | The fastai book, published as Jupyter Notebooks | 14643 | 19 | 2022-04-06 |
8 | aymericdamien/TensorFlow-Examples | TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) | 41834 | 18 | 2022-01-04 |
9 | ageron/handson-ml2 | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. | 20173 | 17 | 2022-03-31 |
10 | jakevdp/PythonDataScienceHandbook | Python Data Science Handbook: full text in Jupyter Notebooks | 34028 | 16 | 2022-04-03 |
11 | bencbartlett/3D-printed-mirror-array | 3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns | 2208 | 15 | 2022-01-03 |
12 | trekhleb/homemade-machine-learning | 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained | 19134 | 15 | 2022-03-12 |
13 | rasbt/deeplearning-models | A collection of various deep learning architectures, models, and tips | 14945 | 14 | 2022-03-29 |
14 | Pierian-Data/Complete-Python-3-Bootcamp | Course Files for Complete Python 3 Bootcamp Course on Udemy | 19804 | 13 | 2022-04-06 |
15 | virgili0/Virgilio | Your new Mentor for Data Science E-Learning. | 13276 | 12 | 2022-02-12 |
16 | labmlai/annotated_deep_learning_paper_implementations | 🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan ... | 6503 | 11 | 2022-04-09 |
17 | Nyandwi/machine_learning_complete | A comprehensive repository containing 30+ notebooks on learning machine learning! | 2235 | 11 | 2022-04-09 |
18 | ageron/handson-ml | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. | 24239 | 11 | 2022-03-11 |
19 | dennybritz/reinforcement-learning | Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. | 17786 | 9 | 2021-10-29 |
20 | fchollet/deep-learning-with-python-notebooks | Jupyter notebooks for the code samples of the book "Deep Learning with Python" | 15110 | 9 | 2022-02-10 |
21 | microsoft/c9-python-getting-started | Sample code for Channel 9 Python for Beginners course | 7363 | 8 | 2022-01-23 |
22 | nlp-with-transformers/notebooks | Jupyter notebooks for the Natural Language Processing with Transformers book | 1386 | 8 | 2022-04-05 |
23 | leandromoreira/digital_video_introduction | A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). | 12537 | 7 | 2021-11-24 |
24 | clam004/intro_continual_learning | This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence | 300 | 7 | 2022-03-04 |
25 | google/dopamine | Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. | 9765 | 7 | 2022-03-21 |
26 | mml-book/mml-book.github.io | Companion webpage to the book "Mathematics For Machine Learning" | 9822 | 6 | 2022-02-03 |
27 | spmallick/learnopencv | Learn OpenCV : C++ and Python Examples | 16033 | 6 | 2022-04-05 |
28 | yandexdataschool/nlp_course | YSDA course in Natural Language Processing | 7803 | 6 | 2021-12-24 |
29 | probml/pml-book | "Probabilistic Machine Learning" - a book series by Kevin Murphy | 3037 | 6 | 2022-04-04 |
30 | irbigdata/data-dockerfiles | a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries. | 506 | 5 | 2022-02-01 |
31 | mrdbourke/tensorflow-deep-learning | All course materials for the Zero to Mastery Deep Learning with TensorFlow course. | 2334 | 5 | 2022-03-14 |
32 | wesm/pydata-book | Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media | 16911 | 5 | 2022-04-03 |
33 | lmoroney/dlaicourse | Notebooks for learning deep learning | 5444 | 5 | 2022-03-12 |
34 | khuyentran1401/Data-science | Collection of useful data science topics along with code and articles | 2402 | 4 | 2022-04-08 |
35 | aws/amazon-sagemaker-examples | Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. | 6751 | 4 | 2022-04-09 |
36 | vopani/jaxton | 100 exercises to learn JAX | 410 | 4 | 2022-04-08 |
37 | fastai/nbdev | Create delightful python projects using Jupyter Notebooks | 3194 | 4 | 2022-03-31 |
38 | mozilla/TTS | 🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) | 5802 | 4 | 2022-04-01 |
39 | DmitryUlyanov/deep-image-prior | Image restoration with neural networks but without learning. | 7124 | 4 | 2022-01-05 |
40 | rlabbe/Kalman-and-Bayesian-Filters-in-Python | Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters ... | 11733 | 4 | 2022-03-03 |
41 | tensorflow/examples | TensorFlow examples | 6022 | 4 | 2022-04-06 |
42 | fastai/fastpages | An easy to use blogging platform, with enhanced support for Jupyter Notebooks. | 3124 | 4 | 2022-03-28 |
43 | polynote/polynote | A better notebook for Scala (and more) | 4289 | 4 | 2022-04-08 |
44 | google-research/simclr | SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners | 2925 | 4 | 2022-03-05 |
45 | NeuromatchAcademy/course-content | NMA Computational Neuroscience course | 2151 | 3 | 2022-04-08 |
46 | jalammar/ecco | Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT ... | 1372 | 3 | 2022-03-27 |
47 | microsoft/QuantumKatas | Tutorials and programming exercises for learning Q# and quantum computing | 3856 | 3 | 2022-04-09 |
48 | skorch-dev/skorch | A scikit-learn compatible neural network library that wraps PyTorch | 4438 | 3 | 2022-04-03 |
49 | jupyter/notebook | Jupyter Interactive Notebook | 8940 | 3 | 2022-04-09 |
50 | dibgerge/ml-coursera-python-assignments | Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions. | 4940 | 3 | 2022-03-31 |
51 | onnx/models | A collection of pre-trained, state-of-the-art models in the ONNX format | 4596 | 3 | 2022-03-28 |
52 | facebookresearch/vissl | VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images. | 2552 | 3 | 2022-04-08 |
53 | fastai/course-nlp | A Code-First Introduction to NLP course | 3096 | 3 | 2022-04-08 |
54 | nfmcclure/tensorflow_cookbook | Code for Tensorflow Machine Learning Cookbook | 6015 | 3 | 2022-03-11 |
55 | rasbt/machine-learning-notes | Collection of useful machine learning codes and snippets (originally intended for my personal use) | 143 | 3 | 2022-04-05 |
56 | rasbt/python-machine-learning-book-3rd-edition | The "Python Machine Learning (3rd edition)" book code repository | 3104 | 3 | 2022-03-29 |
57 | GoogleCloudPlatform/training-data-analyst | Labs and demos for courses for GCP Training (http://cloud.google.com/training). | 5952 | 3 | 2022-04-09 |
58 | amueller/introduction_to_ml_with_python | Notebooks and code for the book "Introduction to Machine Learning with Python" | 6035 | 3 | 2022-03-31 |
59 | ageron/handson-ml3 | A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. | 166 | 3 | 2022-04-05 |
60 | udacity/deep-learning-v2-pytorch | Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 | 4575 | 3 | 2022-03-30 |
61 | yandexdataschool/Practical_RL | A course in reinforcement learning in the wild | 4886 | 3 | 2022-04-07 |
62 | christophM/interpretable-ml-book | Book about interpretable machine learning | 4079 | 2 | 2022-03-29 |
63 | probml/pyprobml | Python code for "Probabilistic Machine learning" book by Kevin Murphy | 4644 | 2 | 2022-04-07 |
64 | suragnair/alpha-zero-general | A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more | 2749 | 2 | 2021-12-05 |
65 | ageron/tf2_course | Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course | 1841 | 2 | 2022-03-11 |
66 | Azure/MachineLearningNotebooks | Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK Microsoft | 2934 | 2 | 2022-04-04 |
67 | alexeygrigorev/mlbookcamp-code | The code from the Machine Learning Bookcamp book and a free course based on the book | 1746 | 2 | 2022-03-29 |
68 | justmarkham/scikit-learn-tips | 🤖⚡ 50 scikit-learn tips | 1480 | 2 | 2021-11-03 |
69 | alirezadir/machine-learning-interview-enlightener | This repo is meant to serve as a guide for Machine Learning/AI technical interviews. | 675 | 2 | 2022-01-23 |
70 | gedeck/practical-statistics-for-data-scientists | Code repository for O'Reilly book | 1231 | 2 | 2022-03-11 |
71 | onnx/tutorials | Tutorials for creating and using ONNX models | 2604 | 2 | 2022-04-08 |
72 | navervision/KELIP | Official PyTorch implementation of "Large-scale Bilingual Language-Image Contrastive Learning" (ICLRW 2022) | 45 | 2 | 2022-03-31 |
73 | hunkim/DeepLearningZeroToAll | TensorFlow Basic Tutorial Labs | 4282 | 2 | 2021-10-14 |
74 | https-deeplearning-ai/machine-learning-engineering-for-production-public | Public repo for DeepLearning.AI MLEP Specialization | 804 | 2 | 2022-02-17 |
75 | MicrosoftDocs/ml-basics | Exercise notebooks for Machine Learning modules on Microsoft Learn | 1053 | 2 | 2022-03-25 |
76 | openvinotoolkit/openvino_notebooks | 📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓 | 598 | 2 | 2022-04-09 |
77 | susanli2016/Machine-Learning-with-Python | Python code for common Machine Learning Algorithms | 3480 | 2 | 2022-01-17 |
78 | zotroneneis/machine_learning_basics | Plain python implementations of basic machine learning algorithms | 3655 | 2 | 2021-12-03 |
79 | sthalles/SimCLR | PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations | 1340 | 2 | 2022-01-21 |
80 | nickmccullum/algorithmic-trading-python | The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python | 1530 | 2 | 2022-03-30 |
81 | realpython/materials | Bonus materials, exercises, and example projects for our Python tutorials | 3539 | 2 | 2022-04-05 |
82 | amanchadha/coursera-deep-learning-specialization | Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur ... | 1042 | 2 | 2022-02-07 |
83 | atif-hassan/FRUFS | An unsupervised feature selection technique using supervised algorithms such as XGBoost | 56 | 2 | 2022-03-26 |
84 | Alro10/deep-learning-time-series | List of papers, code and experiments using deep learning for time series forecasting | 1591 | 2 | 2022-02-27 |
85 | MacroAnalyst/Linear_Algebra_With_Python | Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative s ... | 1658 | 2 | 2022-03-23 |
86 | codebasics/py | Repository to store sample python programs for python learning | 4683 | 2 | 2022-03-05 |
87 | girafe-ai/ml-mipt | Open Machine Learning course at MIPT | 762 | 1 | 2022-04-09 |
88 | ron2111/Awesome-Projects-Collection | This is a beginner-friendly repo to make a collection of some unique and awesome projects. Everyone in the community can benefit & get inspired by the amazing projects present over here. | 159 | 1 | 2021-12-02 |
89 | phlippe/uvadlc_notebooks | Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021 | 450 | 1 | 2022-04-09 |
90 | Azure/azureml-examples | Official community-driven Azure Machine Learning examples, tested with GitHub Actions. | 349 | 1 | 2022-04-09 |
91 | MIT-LCP/mimic-code | MIMIC Code Repository: Code shared by the research community for the MIMIC-III database | 1534 | 1 | 2022-04-07 |
92 | Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation | Data stream analytics: Implement online learning methods to address concept drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift A ... | 141 | 1 | 2022-03-24 |
93 | lmy931/aws-forecast-sample-with-weather-index | This repo provides a sample how to use AWS Forecast with weather and holiday index using Python SDK and API calls | 101 | 1 | 2021-11-22 |
94 | qiskit-community/qiskit-textbook | A university quantum algorithms/computation course supplement based on Qiskit | 679 | 1 | 2022-04-08 |
95 | aws/studio-lab-examples | Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below! | 199 | 1 | 2022-04-08 |
96 | richmanbtc/mlbot_tutorial | A tutorial for algorithmic trading bot using machine learning. | 291 | 1 | 2022-02-17 |
97 | chrisdonahue/music-cocreation-tutorial | Start-to-finish tutorial for interactive music co-creation in PyTorch and Tensorflow.js | 94 | 1 | 2021-11-06 |
98 | probml/probml-notebooks | Notebooks for "Probabilistic Machine Learning" book | 176 | 1 | 2022-04-09 |
99 | gerdm/prml | Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop | 835 | 1 | 2022-03-14 |
100 | tancik/fourier-feature-networks | Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains | 756 | 1 | 2021-11-30 |
101 | JohnSnowLabs/spark-nlp-workshop | Public runnable examples of using John Snow Labs' NLP for Apache Spark. | 676 | 1 | 2022-04-09 |
102 | x4nth055/pythoncode-tutorials | The Python Code Tutorials | 1033 | 1 | 2022-04-05 |
103 | scikit-learn-contrib/MAPIE | A scikit-learn-compatible module for estimating prediction intervals. | 322 | 1 | 2022-04-08 |
104 | Glorf/recipenlg | Set of scripts and notebooks used to produce results visible in RecipeNLG paper | 505 | 1 | 2022-03-07 |
105 | danielhanchen/hyperlearn | Waiting hours for a future prediction is unacceptable. Hyperlearn makes AI and ML algorithms 50% faster, use 90% less memory and doesn't require you to use new hardware! ML Algorithms like PCA, Linear ... | 1239 | 1 | 2021-11-30 |
106 | sscardapane/reprodl2021 | Host repository for the "Reproducible Deep Learning" PhD course | 352 | 1 | 2022-02-28 |
107 | khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists | Efficient Python Tricks and Tools for Data Scientists | 438 | 1 | 2022-04-07 |
108 | forax/java-guide | A guide of modern Java (Java 17) | 454 | 1 | 2022-04-06 |
109 | jadijadi/machine_learning_with_python_jadi | The notebooks we use on ML course | 174 | 1 | 2022-02-05 |
110 | hse-aml/natural-language-processing | Resources for "Natural Language Processing" Coursera course. | 1068 | 1 | 2022-04-06 |
111 | beskridge/Intro-To-Python | A repository of study materials related to Think Python 2nd Edition by Allen B. Downey. More information about the book can be found here: https://greenteapress.com/wp/think-python-2e/ | 57 | 1 | 2022-01-20 |
112 | jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews | Files for Udemy Course on Algorithms and Data Structures | 2008 | 1 | 2022-03-17 |
113 | IbrahimSobh/Object-Detection | In this tutorial, you will perform inference across 10 well-known pre-trained object detectors and fine-tune on a custom dataset. Design and train your own object detector. | 51 | 1 | 2022-03-19 |
114 | The-AI-Summer/Deep-Learning-In-Production | Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples. | 745 | 1 | 2021-11-29 |
115 | devAmoghS/Python-Interview-Problems-for-Practice | 120+ Common code and interview problems solved in Python (it's GROWING...) Give a Star 🌟If it helps you. Please go through the README.md before starting. | 786 | 1 | 2021-11-23 |
116 | chaudharyachint08/Self-Learning | Books Papers, Courses & more I have to learn soon | 1042 | 1 | 2022-01-11 |
117 | cerlymarco/MEDIUM_NoteBook | Repository containing notebooks of my posts on Medium | 1265 | 1 | 2022-03-23 |
118 | davidADSP/GDL_code | The official code repository for examples in the O'Reilly book 'Generative Deep Learning' | 1209 | 1 | 2022-01-24 |
119 | mrdbourke/zero-to-mastery-ml | All course materials for the Zero to Mastery Machine Learning and Data Science course. | 1166 | 1 | 2022-03-20 |
120 | wilfredinni/python-cheatsheet | Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook) | 1888 | 1 | 2022-02-10 |
121 | mrdbourke/pytorch-deep-learning | Materials for upcoming beginner-friendly PyTorch course (work in progress). | 96 | 1 | 2022-04-06 |
122 | tuanavu/airflow-tutorial | Apache Airflow tutorial | 696 | 1 | 2022-02-25 |
123 | milaan9/Python_Natural_Language_Processing | This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand ... | 125 | 1 | 2021-11-09 |
124 | Richarizardd/Self-Supervised-ViT-Path | Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021) | 33 | 1 | 2022-03-11 |
125 | practical-nlp/practical-nlp-code | Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media | 750 | 1 | 2022-04-06 |
126 | BlackArbsCEO/Adv_Fin_ML_Exercises | Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado] | 1215 | 1 | 2022-04-06 |
127 | PythonFreeCourse/Notebooks | Learn Python for free using open-source notebooks in Hebrew. | 977 | 1 | 2022-03-13 |
128 | mitmath/1806 | 18.06 course at MIT | 1486 | 1 | 2022-04-09 |
129 | NeuromatchAcademy/course-content-dl | NMA deep learning course | 474 | 1 | 2022-04-01 |
130 | microsoft/workshop-library | A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities | 128 | 1 | 2022-04-05 |
131 | FernandaOchoa/Intropython | Notebook de la sesión de introducción a python. | 71 | 1 | 2022-02-10 |
132 | uds-se/fuzzingbook | Project page for "The Fuzzing Book" | 712 | 1 | 2022-03-31 |
133 | INRIA/scikit-learn-mooc | scikit-learn-mooc | 625 | 1 | 2022-04-05 |
134 | github/CodeSearchNet | Datasets, tools, and benchmarks for representation learning of code. | 1600 | 1 | 2022-01-31 |
135 | derekbanas/Python4Finance | I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance. | 258 | 1 | 2022-04-01 |
136 | Qiskit/qiskit-tutorials | A collection of Jupyter notebooks showing how to use the Qiskit SDK | 1886 | 1 | 2022-04-08 |
137 | hila-chefer/TargetCLIP | Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer. | 158 | 1 | 2021-12-10 |
138 | stefmolin/python-data-viz-workshop | A workshop on data visualization in Python with notebooks and exercises for following along. | 107 | 1 | 2022-04-06 |
139 | xinychen/transdim | Machine learning for transportation data imputation and prediction. | 768 | 1 | 2022-03-21 |
140 | Nixtla/neuralforecast | Scalable and user friendly neural 🧠 forecasting algorithms for time series data 〰️. | 447 | 1 | 2022-04-06 |
141 | justin-bennington/S2ML-Generators | Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content | 155 | 1 | 2021-12-30 |
142 | justmarkham/scikit-learn-videos | Jupyter notebooks from the scikit-learn video series | 3342 | 1 | 2021-11-07 |
143 | jmtomczak/intro_dgm | An Introduction to Deep Generative Modeling: Examples | 419 | 1 | 2022-02-21 |
144 | uwdata/visualization-curriculum | A data visualization curriculum of interactive notebooks. | 1075 | 1 | 2022-02-16 |
145 | milaan9/01_Python_Introduction | Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials. | 204 | 1 | 2021-11-26 |
146 | EddieChen324/Coursera_DeepLearning-Tensorflow2.x | Using Tensorflow 2.X to solve problems from Andrew Ng's Deep Learning lessons. | 33 | 1 | 2022-03-13 |
147 | csinva/imodels | Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). | 721 | 1 | 2022-04-08 |
148 | muellerzr/Practical-Deep-Learning-for-Coders-2.0 | Notebooks for the "A walk with fastai2" Study Group and Lecture Series | 682 | 1 | 2021-11-13 |
149 | milaan9/90_Python_Examples | The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your ow ... | 145 | 1 | 2022-01-15 |
150 | susanli2016/NLP-with-Python | Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more | 2281 | 1 | 2021-11-21 |
151 | dsgiitr/graph_nets | PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT. | 779 | 1 | 2022-03-26 |
152 | fbaptiste/python-deepdive | Python Deep Dive Course - Accompanying Materials | 857 | 1 | 2022-04-09 |
153 | fastai/fastprogress | Simple and flexible progress bar for Jupyter Notebook and console | 990 | 1 | 2022-03-03 |
154 | codebasics/data-structures-algorithms-python | This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice o ... | 507 | 1 | 2022-04-05 |
155 | luwill/Machine_Learning_Code_Implementation | Mathematical derivation and pure Python code implementation of machine learning algorithms. | 1079 | 1 | 2022-04-06 |
156 | ouhenio/StyleGAN3-CLIP-notebooks | A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation. | 134 | 1 | 2022-03-31 |
157 | suhara/cis6930-fall2021 | Course materials for Fall 2021 "CIS6930 Topics in Computing for Data Science" at New College of Florida | 90 | 1 | 2022-02-10 |
158 | milaan9/07_Python_Advanced_Topics | You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples. | 191 | 1 | 2021-11-14 |
159 | NeuromatchAcademy/precourse | A repo for the pre-course work at home exercises | 487 | 1 | 2022-01-25 |
160 | aws/graph-notebook | Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL. | 384 | 1 | 2022-04-09 |
161 | tum-pbs/pbdl-book | Welcome to the Physics-based Deep Learning Book (v0.1) | 377 | 1 | 2022-03-22 |
162 | bopen/sarsen | Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors | 116 | 1 | 2022-04-04 |
163 | tiepvupsu/ebookMLCB | ebook Machine Learning cơ bản | 858 | 1 | 2022-01-03 |
164 | v-iashin/SpecVQGAN | Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021) | 160 | 1 | 2022-02-03 |
165 | Vaibhavs10/ml-with-audio | HF's ML for Audio study group | 92 | 1 | 2022-03-30 |
166 | jakevdp/WhirlwindTourOfPython | The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python" | 3104 | 1 | 2021-12-05 |
167 | rasgointelligence/feature-engineering-tutorials | Data Science Feature Engineering and Selection Tutorials | 182 | 1 | 2022-02-22 |
168 | Ranlot/single-parameter-fit | Real numbers, data science and chaos: How to fit any dataset with a single parameter | 629 | 1 | 2022-04-06 |
169 | BlockchainCommons/Learning-Bitcoin-from-the-Command-Line | A complete course for learning Bitcoin programming and usage from the command | 2201 | 1 | 2022-02-03 |
170 | vanshika230/Machine-Learning | This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included. | 135 | 1 | 2021-12-26 |
171 | milaan9/02_Python_Datatypes | Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different type ... | 191 | 1 | 2021-11-06 |
172 | elastic/examples | Home for Elasticsearch examples available to everyone. It's a great way to get started. | 2485 | 1 | 2022-04-06 |
173 | ikostrikov/jaxrl | JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces. | 291 | 1 | 2022-03-27 |
174 | justinjohn0306/VQGAN-CLIP | VQGAN+CLIP Colab Notebook with user-friendly interface. | 184 | 1 | 2021-11-15 |
175 | ilmoi/MML-Book | Code / solutions for Mathematics for Machine Learning (MML Book) | 558 | 1 | 2021-12-13 |
176 | dask/dask-tutorial | Dask tutorial | 1660 | 1 | 2022-01-14 |
177 | jrfiedler/causal_inference_python_code | Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins | 944 | 1 | 2022-01-08 |
178 | gboeing/osmnx-examples | Usage examples, demos, and tutorials for OSMnx. | 1036 | 1 | 2021-11-17 |
179 | wafarifki/Hacktoberfest_2021 | Hello, Welcome to this repo. don't forget to read guidelines in readme.md | 125 | 1 | 2021-11-08 |
180 | bioinf-jku/SNNs | Tutorials and implementations for "Self-normalizing networks" | 1540 | 1 | 2022-01-21 |
181 | huggingface/notebooks | Notebooks using the Hugging Face libraries 🤗 | 797 | 1 | 2022-04-08 |
182 | ayush714/ML001-Project-Sources-Code-and-Learning-Materials | ML001 Sources Code and Learning Materials | 158 | 1 | 2021-10-21 |
183 | yandexdataschool/Practical_DL | DL course co-developed by YSDA, HSE and Skoltech | 1149 | 1 | 2022-02-17 |
184 | lukepolson/youtube_channel | Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook. | 266 | 1 | 2022-04-04 |
185 | tirthajyoti/Machine-Learning-with-Python | Practice and tutorial-style notebooks covering wide variety of machine learning techniques | 2314 | 1 | 2022-01-26 |
186 | AntonioLonga/PytorchGeometricTutorial | Pytorch Geometric Tutorials | 362 | 1 | 2022-01-21 |
187 | hila-chefer/Transformer-MM-Explainability | [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-bas ... | 331 | 1 | 2021-12-28 |
188 | dvschultz/ml-art-colabs | A list of Machine Learning Art Colabs | 672 | 1 | 2022-02-21 |
189 | shawlu95/Beyond-LeetCode-SQL | Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided. | 663 | 1 | 2021-11-17 |
190 | PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition | Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt | 597 | 1 | 2022-02-10 |
191 | milaan9/06_Python_Object_Class | Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriente ... | 194 | 1 | 2021-11-13 |
192 | m2dsupsdlclass/lectures-labs | Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris | 1287 | 1 | 2022-03-25 |
193 | AngelRuizMoreno/Jupyter_Dock | Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results. | 125 | 1 | 2021-11-24 |
194 | blueberrymusic/Deep-Learning-A-Visual-Approach | All of the figures and notebooks for my deep learning book, for free! | 172 | 1 | 2022-04-08 |
195 | catboost/tutorials | CatBoost tutorials repository | 745 | 1 | 2022-04-01 |
196 | ialhashim/DenseDepth | High Quality Monocular Depth Estimation via Transfer Learning | 1242 | 1 | 2021-12-27 |
197 | codebasics/deep-learning-keras-tf-tutorial | Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tuto ... | 320 | 1 | 2021-11-03 |
198 | sayakpaul/ConvNeXt-TF | Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks. | 65 | 1 | 2022-03-27 |
199 | lukas/ml-class | Machine learning lessons and teaching projects designed for engineers | 1776 | 1 | 2022-02-14 |
200 | microsoft/AcademicContent | Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons. | 2269 | 1 | 2022-04-08 |
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