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Cross-CLI skill for Obsidian: turn your vault into a living AI-first second brain across Claude Code, Codex, Gemini, and OpenCode. 43 commands - now with /obsidian-architect to document your codeba…
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
A local-model, open-source-web-search fork of Gemini's deep research agent
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Demos for the UKAEA/digiLab STEPControl project
Common types definitions for the Uncertainty Engine
GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
A framework for interpreting modern AI systems using Monte Carlo Shapley value estimation. Model-agnostic explainability across language models, vision-language models, video understanding, and aut…
🤗 smolagents: a barebones library for agents that think in code.
HOPEJr_open-source_DIY_Humanoid_Robot_with_dexterous_hands
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
[ICCV 2025] LLaVA-CoT, a visual language model capable of spontaneous, systematic reasoning
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
A framework for prototyping and benchmarking imputation methods
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
An open-source RAG-based tool for chatting with your documents.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The API to search, scrape, and interact with the web at scale. 🔥