The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
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The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
An elegant PyTorch deep reinforcement learning library.
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!
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A collection of machine learning examples and tutorials.
StarCraft II Learning Environment
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Infrastructure for continually self‑improving agents
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
Bjorn is a powerful network scanning and offensive security tool for the Raspberry Pi with a 2.13-inch e-Paper HAT. It discovers network targets, identifies open ports, exposed services, and potential vulnerabilities. Bjorn can perform brute force attacks, file stealing, host zombification, and supports custom attack scripts.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Solve Visual Understanding with Reinforced VLMs
PyTorch implementations of deep reinforcement learning algorithms and environments
Democratizing Reinforcement Learning for LLMs
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
Automated Penetration Testing Framework - Open-Source Vulnerability Scanner - Vulnerability Management