High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
🦉 Data Versioning and ML Experiments
A hyperparameter optimization framework
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
NLTK Source
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open source implementation of CLIP.
Convert Machine Learning Code Between Frameworks
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Open Machine Learning Compiler Framework
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Build voice agents with open-source models
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Agent S: an open agentic framework that uses computers like a human
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
A PyTorch-based Speech Toolkit
Low-code framework for building custom LLMs, neural networks, and other AI models
ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀
🐍 Geometric Computer Vision Library for Spatial AI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Minimal and clean examples of machine learning algorithms implementations
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Fast and Accurate ML in 3 Lines of Code
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
Autoharness — a self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.
Build, Manage and Deploy AI/ML Systems
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
A unified framework for machine learning with time series
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
Perform data science on data that remains in someone else's server
End-to-End Speech Processing Toolkit
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
TensorFlow-based neural network library
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
A python library for user-friendly forecasting and anomaly detection on time series.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
so-vits-svc fork with realtime support, improved interface and more features.
ModelScope: bring the notion of Model-as-a-Service to life.
Deep universal probabilistic programming with Python and PyTorch
A collection of machine learning examples and tutorials.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
🧙 Build, run, and manage data pipelines for integrating and transforming data.
AI Toolkit for Healthcare Imaging
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
Accessible large language models via k-bit quantization for PyTorch.
收录最全、更新最快的技能Skills商店:精选原创技能包(涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流),全部打包好可直接安装使用!同时自动抓取GitHub上万个Skills项目,按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill library, featuring curated skill packs across document processing, content creation, programming, machine learning, automated workflows, and many more domains.
Unified framework for robot learning with multi-physics/renderer support