Lists (1)
Stars
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A curated list of awesome Deep Reinforcement Learning resources.
Easy GPU switching for Nvidia Optimus laptops under Linux
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
Fake KWin DBus service to make KDE 6 play nice with i3wm
How to install the i3 window manager on KDE
LaTeX beamer template for presentations with a clean and simple style
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
code for the paper *Noise classification in small quantum networks by Machine Learning*
Generative Models by Stability AI
Use your tablet as graphic tablet/touch screen on your computer.
An educational resource to help anyone learn deep reinforcement learning.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Julia toolkit for open quantum system simulation.
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Starter pack to build an AI for Battlesnake with Amazon Sagemaker more content on wiki:
Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
A reinforcement learning package for Julia