FinRLยฎ: Financial Reinforcement Learning. ๐ฅ
More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning
A Gym-like environment for Reinforcement Learning in Brawlhalla.
Developer Asset Hub for NVIDIA Nemotron โ A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
List of Computer Science courses with video lectures.
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
Learn AI Engineering! Learn it. Build it. Ship it for others.
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
SGLang is a high-performance serving framework for large language models and multimodal models.
Code for Machine Learning for Trading, 3rd edition โ from data sourcing to live execution.
FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐ฅ We release the trained model on HuggingFace.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Train transformer language models with reinforcement learning.
The absolute trainer to light up AI agents.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Open-source simulator for autonomous driving research.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Agent S: an open agentic framework that uses computers like a human
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
A collection of machine learning examples and tutorials.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s โ in pure Python with async/await, also other languages (rust, go and ts)
Infrastructure for continually selfโimproving agents
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
A course in reinforcement learning in the wild
Puffing up reinforcement learning
Democratizing Reinforcement Learning for LLMs
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
Implement a reasoning LLM in PyTorch from scratch, step by step
A Next-Generation Training Engine Built for Ultra-Large MoE Models
This repo contains the Hugging Face Deep Reinforcement Learning Course.
๐ An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
A library of reinforcement learning components and agents
Mastering Diverse Domains through World Models
AI Infra / AI Orchestration / AI Control Plane
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Open Machine Learning course
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A high-performance distributed training framework for Reinforcement Learning
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
A collection of environments for autonomous driving and tactical decision-making tasks
Massively parallel rigidbody physics simulation on accelerator hardware.
Open source neural network chess engine with GPU acceleration and broad hardware support.
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research