vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A unified, comprehensive and efficient recommendation library
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
open-source agentic AI data assistant for the next generation of AI + Data products.
3 captures since 2026-05-22