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。

12 Weeks, 24 Lessons, AI for All!

Ultralytics YOLO11 🚀

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

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

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

We write your reusable computer vision tools. 💜

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

Image-to-Image Translation in PyTorch

Learn OpenCV : C++ and Python Examples

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

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

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

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

CVPR 2024 论文和开源项目合集

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。

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.

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.

Your new Mentor for Data Science E-Learning.

Face recognition using Tensorflow

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

A toolkit for making real world machine learning and data analysis applications in C++

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.