TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.

Persistent memory for Claude Code and 6 other CLI agents, stored as plain markdown in your Obsidian vault. Stop re-explaining your projects, decisions and people every session. 45 commands: hybrid …

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

Bayesian Optimization and Design of Experiments

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

Uniform Manifold Approximation and Projection

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. 🔥