Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".

mcp-use is the easiest way to interact with mcp servers with custom agents

🤖🕰️ An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development.

I made my AI think harder by making it argue with itself repeatedly. It works stupidly well.

Inference, Fine Tuning and many more recipes with Gemma family of models

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

A lightweight, local-first, and 🆓 experiment tracking library from Hugging Face 🤗

Production-ready data processing made easy and shareable

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

Open-source, secure environment with real-world tools for enterprise-grade agents.

Repo to accompany my mastering LLM engineering course

ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Declarative visualization library for Python

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

Get your documents ready for gen AI

Documentation that simply works

Data validation using Python type hints

A lightweight, powerful framework for multi-agent workflows

Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.

Simple, unified interface to multiple Generative AI providers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The lazier way to manage everything docker

A modular graph-based Retrieval-Augmented Generation (RAG) system

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA