Dev
GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
3,195
repos tracked
105
surfaced this week
193
created < 30d
Python
top language
32 repos
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Implement a reasoning LLM in PyTorch from scratch, step by step
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SGLang is a high-performance serving framework for large language models and multimodal models.
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Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
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Multimodal RL training framework for diffusion & omni models
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Continued development of pufferdrive
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Reproducible navigation benchmarking & residual RL fine-tuning for Wanderland
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Executable RL environment for diagnosing and repairing distributed PyTorch training failures, with sandboxed execution and correctness-verified recovery rewards.
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A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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A Python library for running thousands of MuJoCo simulations in parallel on CPU
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Halo is an open-source framework built by White Circle for training large language and multimodal models
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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.
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A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
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Gym-style environment for Warcraft III Legacy: stepping, observations and commands through an injected DLL
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An mjlab integration for the Booster K1
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Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
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Reproducible Microduck RL experiments, policies, simulation assets, and hardware add-ons
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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.
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Infrastructure for continually self‑improving agents
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A curated list of software, simulators, policies, agent tools and coverage for the Pollen Robotics / Hugging Face Microduck robot
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Playing Prince of Persia (1989) using Reinforcement Learning.
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Reinforcement Learning (RL) environments for the Microban platform, a 30cm open-source and affordable humanoid robot.
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Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
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Puffing up reinforcement learning
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SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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Python-first native robotics simulation and reinforcement-learning environments
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An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
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Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
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Official code for "Representation Learning Enables Scalable Multitask Deep Reinforcement Learning".
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One policy. Any motion. Train universal whole-body tracking in mjlab—swap clips, not checkpoints.
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Arctic Training and Inference Platform
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Predictive Style Matching (PSM), is method in which an offline predictor maps the robot’s lower-body state history and velocity commands to interpretable upper-body joint and gait targets that shape the rewards during training.
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🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.