Discover open-source AI tools.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Best Practices on Recommendation Systems

☁️ Build multimodal AI applications with cloud-native stack

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Open standard for machine learning interoperability

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

An open source cybersecurity protocol for syncing decentralized graph data.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

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

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Python Implementation of Reinforcement Learning: An Introduction

Open-source simulator for autonomous driving research.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

🐍 Geometric Computer Vision Library for Spatial AI

Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.