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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Autonomous Multi-Agent AI Framework — control 1000+ apps via natural language using LangGraph + MCP + Zapier
MCPLink onlyFew stars
InternVideo2-CLIP L14 (TAO video_clip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. Use when the user asks to "fine
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. Use when a user explicitly asks to fine-tune CodonFM or Encod
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it
OfficialSkillApache-2.0★ 918 in collectionNo key
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scrat
SkillMIT★ 711No key
The platform for continuously improving AI agents.
SkillAGPL-3.0★ 679No key
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous
SkillMIT★ 318No key
Local AI workstation dashboard Neuralforge— manage LLMs, agents, RAG, Telegram AI bot with 14 meme personas & voice cloning, image/video/3D generation, and LoRA fine-tuning and SMM module from a singl
SkillMIT★ 7No key
Benchmarking zero-shot and fine-tuned time series foundation models for process model forecasting on directly-follows time series from event logs.
PythonMIT★ 1Few starsNo key
Unified Amazon SageMaker AI plugin for Codex, Kiro, and Claude Code — SDK v3, training, inference, HyperPod, monitoring, and warm pools.
SkillMIT★ 5No key
Zolai AI Second Brain — NLP toolkit to digitize, standardize & preserve the Tedim Zolai language. Includes data pipelines, 152k-entry dictionary, Bible corpus, LLM fine-tuning (Qwen2.5-3B LoRA), and a
SkillMIT★ 3Few starsNo key
An MCP server for dataset generation, fine-tuning, RL, and evaluation of LLMs — directly from your coding agent.
PythonMIT★ 16No key
Advanced hands-on work in LLM training, fine-tuning, inference, quantization, evaluation, and deployment.
SkillMIT★ 1Few starsNo key
Continuous LoRA fine-tuning as a local service. Watches source files for changes, retrains on change, and hot-swaps the adapter into a live OpenAI-compatible inference endpoint. Pipeline control via M
PythonMIT★ 2Few starsNo key
PythonApache-2.0★ 3Few starsNo key
Interactive image dataset collection and curation tool for LoRA training, powered by Claude Agent SDK
PythonMIT★ 2Few starsNo key
Fine-tune LLMs on your MacBook with one YAML file. Built on MLX for Apple Silicon.
SkillApache-2.0★ 2Few starsNo key
把 GitHub 仓库从「写完了」推到「能被陌生人 star」的标准流程 — 一个 Claude Code skill
SkillMIT★ 1Few starsNo key
Hardware-aware, verification-gated LLM fine-tuning skill for coding agents: probe the GPU, pick the right engine, smoke test, train instrumented, verify with a neutral evaluator.
SkillMIT★ 1Few starsNo key
CLI that trains a LoRA voice-cloning adapter for pocket-tts TTS, saved to disk, not an API. PyPI + npm.
PythonMIT★ 1Few starsNo key
Claude Code plugin for LLM fine-tuning, distillation, and evaluation — decide whether you need fine-tuning at all, distill your LLM logs into small local models (MLX/LoRA), evaluate with held-out disc
SkillMIT★ 6No key
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