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Public streamable HTTP MCP server for Tandem documentation—install guides, SDK references, workflow docs, headless deployment, and docs-grounded setup help for the Tandem governed runtime.

Apache-2.0 Python framework for building and sharing machine-learning demos, AI web apps, model interfaces, chatbots, API front ends, and interactive evaluation tools.

MCP server for Anki flashcards that lets Claude review cards, manage decks, create and update notes, handle tags and media, inspect stats, and drive Anki desktop GUI workflows.

Open-source library for fast, memory-efficient fine-tuning, reinforcement learning, and training of open LLMs — train 500+ models up to 2x faster with up to 70% less VRAM and no accuracy loss, with LoRA/QLoRA support and export to GGUF, safetensors, vLLM, and Ollama.

Free open-source, config-driven LLM fine-tuning framework covering full and parameter-efficient fine-tuning (LoRA, QLoRA), preference tuning (DPO, KTO, ORPO), and reinforcement learning across many model families through declarative YAML configs.

Microsoft open-source course for learning AI agents with lessons on agentic frameworks, design patterns, tool use, agentic RAG, trustworthy agents, planning, multi-agent systems, MCP/A2A/NLWeb, memory, browser use, and Microsoft Agent Framework.

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.

Apache-2.0 distributed AI compute engine for scaling Python, ML data processing, training, tuning, reinforcement learning, and model serving workloads.

AI testing platform for evaluating, scanning, and monitoring machine learning and LLM application quality.

Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.