A tool for generating number image datasets in industrial scenarios.

A paper list of some recent Transformer-based CV works.

Ascend PyTorch adapter (torch_npu). Mirror of https://gitee.com/ascend/pytorch

A simple C++ deep learning framework

Streamlit — A faster way to build and share data apps.

An Open Source Machine Learning Framework for Everyone

🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎

Large suite of N-body simulations

This is a repository for an object detection inference API using the Tensorflow framework.

An open-source autonomous highway pilot system for privately owned vehicles

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ModelScope: bring the notion of Model-as-a-Service to life.

nanograd🧠 deep learning and neural net ecosystem, run models like GPT, llama, stable diffusion, vision transformer, reinforcement learning, autotrainer, your Unreal Engine, but for AI, essentially making it an AI engine or an AI Ecosystem

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

a paper aiming to write different AIs to classify MRI images of brain metastases based on their primary cancers

This repository is used to collect papers and code in the field of AI.

On-device AI across mobile, embedded and edge for PyTorch

Nasal Bone Fracture X-ray Dataset for Medical Imaging and AI Research

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"