Starred repositories
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Browser extension that simplifies the GitHub interface and adds useful features
Streamlit — A faster way to build and share data apps.
You like pytorch? You like micrograd? You love tinygrad! ❤️
🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers (OpenAI / Claude 4 / Gemini / DeepSeek / Ollama / Qwen), Knowledge Base (file upload / RAG ), one click …
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
A PyTorch native platform for training generative AI models
📚 Collaborative cheatsheets for console commands
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
An extremely fast Python package and project manager, written in Rust.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
fay是一个帮助数字人（2.5d、3d、移动、pc、网页）或大语言模型（openai兼容、deepseek）连通业务系统的mcp框架。
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Models and examples built with TensorFlow
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step