UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
OWASP Web Recon & Directory Discovery Platform
NequIP is a code for building E(3)-equivariant interatomic potentials
ZipCracker是Hx0战队出品的一款功能强大的Zip密码破解工具。它集成了字典攻击、掩码攻击、短明文 CRC32 枚举恢复、已知明文攻击、套娃ZIP解压等多种破解模式,并能自动修复伪加密文件。凭借其高性能与多功能的特点,ZipCracker已成为CTF比赛中的一把利器。(ZipCracker by Hx0 team is a tool for cracking passwords on Zip files, great for CTF competitions.)
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
Python library for Reinforcement Learning.
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
Zentral is a control plane for secure, observable Apple endpoints in enterprises. Configure, observe, and enforce the desired state of every Apple endpoint. Manage that desired state as code through GitOps and Terraform.
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
🔐 AI decoding Trump's posts × stock market | AI 解碼川普推文 × 美股 | AIでトランプ投稿×株式市場を解読 — 31.5M models, 61.3% hit rate, open source
AI Plays Trackmania with Reinforcement Learning
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Reinforcement Learning with Model Predictive Control
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).
《Reinforcement Learning: An Introduction》(第二版)中文翻译
Official reinforcement learning environment for demand response and load shaping
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
A unified framework for robot learning
ORB forcefield models from Orbital Materials
MCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.
A Python library for running thousands of MuJoCo simulations in parallel on CPU
Imitation learning algorithms
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Identify and simulate extended friction models for servo-actuators
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
Multi-Objective Reinforcement Learning algorithms implementations.
Poke-env: Python Interface for Pokemon Showdown Bots
An open-source Python library for poker game simulations, hand evaluations, and statistical analysis
A Trusted Human-Multi-Agent Reinforcement Learning Interaction Framework
verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.
Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
开源劳动者AI研究与评测项目:建设劳动知识、公开评测基准与共同治理机制|Open worker-centered AI research and evaluation project.
Custom NVIDIA 368.81-based XP 32-bit driver with Maxwell/Pascal desktop additions, OpenGL and compute fixes, improved DisplayPort/HDMI scaling, and restored Control Panel features.
🎬 OraRL — Annotations as Rollouts for efficient, scalable reinforcement learning of unified video MLLMs.
Official reinforcement learning training framework for Asimov humanoid robots, built on Isaac Lab.
Lego-RL: Harness-Native Reinforcement Learning for Coding Agents
Native VST2 plugins with MPC screen skins for Akai MPC OS standalone (MPC Live/One/X/Key, Force)
深度学习与强化学习的系统学习路线:39 个实验,每个配数学推导笔记、原创插图和从零实现的代码
Auditable human-feedback annotation, review, provenance, and frozen training-data export.
Claude Code-style plan mode for Hermes Agent: enforced read-only planning, then approval through Hermes' own approval prompt on every interactive surface.
FlashREINFORCE: Critic-Free, Single-Rollout, Asynchronous RL for Agentic Language Models
:dog: Beagle is designed to be the unified platform for the broader Recursive Self-Improvement (RSI) ecosystem. Think of it as Hugging Face Trainer for agent evolution. Its efficient rollout engine enables evaluation and evolution at scale across different agents, datasets, benchmarks, and evolution methods.
Hangzhou Mahjong training and evaluation framework with public-information Transformers, paired branch reinforcement learning, and the r2600 checkpoint.
Python-based crypto wallet analysis tool with multi-threaded address and seed phrase checking (up to 50 threads). Supports Bitcoin, Ethereum, Solana, BNB Chain, Polygon, and EVM networks. Includes proxy rotation, portfolio aggregation, USD valuation, token scanning, and TXT/CSV/JSON export for auditing, research, and analytics.
Self-hosted Whispersync: sync your exact spot between Kobo ebooks (Calibre-Web) and Audiobookshelf audiobooks using forced alignment
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
RL Token pipeline for the SO-101 arm: π0.5 fine-tuning, RL Token training, critical-phase classifier, online RL and deployment.
Cohere Transcribe + VAD, forced alignment, and diarization for accurate, timestamped, speaker-labeled transcripts.
Code for the paper "Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning" https://arxiv.org/abs/2609.03430
Reproducible Microduck RL experiments, policies, simulation assets, and hardware add-ons
Post-training humanoid whole-body trackers for perceptive control tasks
An mjlab integration for the Booster K1
FlashDexRetarget: Accelerating Dexterous Manipulation Data Generation through Multi-Motion Retargeting
[EMNLP 2026] Official implementation of V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning.
A next-gen long-term memory engine for AI apps: self-organizing spatial regions, memory dynamics (Ebbinghaus reinforcement / decay / consolidation), and explainable 8-signal retrieval. Runs offline with zero config; works with any OpenAI-compatible LLM/embedding, cloud or local. Chinese-friendly. Benchmarked head-to-head vs Mem0 and bare RAG
Design-system and vocabulary drift, enforced. Tailwind themes become law, rogue values get receipts, words live in a database agents inherit — one org ontology across every repo.