Popular GitHub Repositories for Human Computer Interaction

《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!

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer

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

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

We write your reusable computer vision tools. ?

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.

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

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

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

CVPR 2025 论文和开源项目合集

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

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

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

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

A GUI Agent application based on UI-TARS(Vision-Lanuage Model) that allows you to control your computer using natural language.

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