Popular GitHub Repositories for Computer Vision Engineer

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.

《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。

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

12 Weeks, 24 Lessons, AI for All!

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.

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.

OpenMMLab Detection Toolbox and Benchmark

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

A complete daily plan for studying to become a machine learning engineer.

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

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.

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.

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.