SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling
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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).
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.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Deep Reinforcement Learning for Keras.
A Next-Generation Training Engine Built for Ultra-Large MoE Models
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.