Popular GitHub Repositories for Microsoft Computer Vision

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

《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

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Caffe: a fast open framework for deep learning.

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

We write your reusable computer vision tools. ?

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

OpenMMLab Detection Toolbox and Benchmark

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

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

? 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

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

CVPR 2025 论文和开源项目合集