MCP servers and skills: search, filter by where they run, and compare.
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
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
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
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
Interactive image dataset collection and curation tool for LoRA training, powered by Claude Agent SDK
PythonMIT★ 2Few starsNo key
Distill a large LLM into a small open-weights model: generate questions, collect reasoning answers, fine-tune with Axolotl on your GPU or Runpod.
SkillApache-2.0★ 2Few starsNo key
Agentic LLM-powered stock trading system with realtime market/news retrieval, trading memory, and MCP tool use.
SkillMIT★ 1Few starsNo key
Open-source European platform for verified AI context: prompts, guardrails, datasets and evals, each with its source and EU compliance. contextetech.com/en/
SkillAGPL-3.0★ 1Few starsNo key
从一批企业文档搭建 SFT+RAG 混合问答系统的完整流水线 —— 六阶段执行剧本 + 54 条真实踩坑记录 + 7 个脚本。A battle-tested SFT+RAG pipeline skill for Claude Code, with 54 documented failure modes.
SkillMIT★ 1Few starsNo key
30+ layer contribution metrics from 7 theoretical categories for PyTorch model compression. Bridges for Torch-Pruning and PEFT/LoRA.
PythonMIT★ 1Few starsNo key
Production-shaped control plane for AI support agents: scoped routing, policy broker, tool boundaries, approval queue, replay verification, audit traces, and human handoff. Prototype on synthetic/samp
MCPLink only★ 6
Fine-tune Gemma-4 locally on distilled persona data — self-contained persona models for phones and personal computers
SkillLink only★ 1Few stars
Who stands behind it
