🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
DSPy: The framework for programming—not prompting—language models
A powerful little TUI framework 🏗
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
Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors
Hundreds of models & providers. One command to find what runs on your hardware.
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
Send push notifications to your phone or desktop using PUT/POST
🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.