Lists (5)
Stars
A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research. (Accepted at ICML 2025).
Development repository for the Triton language and compiler
Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
A collection of formalized statements of conjectures in Lean.
NumPy aware dynamic Python compiler using LLVM
Some hard problems for reinforcement learning.
A short implementation of bandit algorithms - ETC, UCB, MOSS and KL-UCB
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
A curated list of high-performance computing resources tailored to Amii.
A minimal GPU design in Verilog to learn how GPUs work from the ground up
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
This is the RiverSwim environment implementation for OpenAI gym.
ShellCheck, a static analysis tool for shell scripts
Official style files for papers submitted to venues of the Association for Computational Linguistics
[AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"