Open Source Computer Vision Library

List of Computer Science courses with video lectures.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Ultralytics YOLO 🚀

12 Weeks, 24 Lessons, AI for All!

We write your reusable computer vision tools. 💜

Cross-platform, customizable ML solutions for live and streaming media.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

500 AI Machine learning Deep learning Computer vision NLP Projects with code

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Image-to-Image Translation in PyTorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A curated list of awesome computer vision resources

Learn OpenCV : C++ and Python Examples

CVPR 2026 论文和开源项目合集

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.

✔（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Run agents that work for you based on what you do. AI finally knows what you are doing

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Datasets, Transforms and Models specific to Computer Vision

Instant neural graphics primitives: lightning fast NeRF and more

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.