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Agent harness for learning difficult things.

Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Curated list of project-based tutorials

🤗 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.

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

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.

Bridge between QQ (SnowLuma OneBot v11) and DeepSeek Harness agents: social simulation, safe MCP tools, slang learning and more.

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

🐸 Read Frog - Open-source AI language learning & flashcards, an Immersive Translate alternative | 🐸 陪读蛙 - 开源 AI 语言学习与闪词卡，沉浸式翻译替代

scikit-learn: machine learning in Python

Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention

My AI learning system.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Train transformer language models with reinforcement learning.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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

Aesthetic, minimalist platform for learning Japanese inspired by Duolingo and Monkeytype, built with Next.js and sponsored by Vercel. Beginner-friendly with plenty of good first issues - all contributions are welcome!

Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Immersion language-learning suite: EPUB reader, video subtitle lookup, audiobook sync, and one-tap Anki mining. Android / Windows / macOS / iOS.

agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

A modern piano-learning and MIDI visualization cross-platform app — falling notes, interactive chord & scale explorers, real-time chord detection. From MIDI to mastery.

Visualizer for neural network, deep learning and machine learning models

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

The open curriculum for learning web development