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The agent engineering platform.

Models and examples built with TensorFlow

Free, open source crypto trading bot

Learn it. Build it. Ship it for others.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

LlamaIndex is the document processing platform for AI

Python Data Science Handbook: full text in Jupyter Notebooks

We write your reusable computer vision tools. 💜

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Build resilient agents.

A community-maintained Python framework for creating mathematical animations.

Convert PDF to markdown + JSON quickly with high accuracy

🔊 Text-Prompted Generative Audio Model

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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

open-source coding agent

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

Search infrastructure for AI

The batteries-included agent harness.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

A game theoretic approach to explain the output of any machine learning model.

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Automate browser based workflows with AI