carlosgmartin

carlosgmartin's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.7k7531.3k8k

• nushell/nushell

  A new type of shell

  Language:Rust33.4k1906k1.7k

• tinygrad/tinygrad

  You like pytorch? You like micrograd? You love tinygrad! ❤️

  Language:Python27.5k2758423.1k

• getcursor/cursor

  The AI Code Editor

  26.8k2112.3k1.7k

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python6.1k37186684

• alpa-projects/alpa

  Training and serving large-scale neural networks with auto parallelization.

  Language:Python3.1k46297360

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.8k412203

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.7k518134

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.5k2289205

• joboccara/pipes

  Pipelines for expressive code on collections in C++

  Language:C++812344480

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python793132468

• RobertTLange/gymnax

  RL Environments in JAX 🌍

  Language:Python680105561

• swansonk14/typed-argument-parser

  Typed argument parser for Python

  Language:Python536710742

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python478104093

• mpi4jax/mpi4jax

  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

  Language:Python456119230

• konstmish/prodigy

  The Prodigy optimizer and its variants for training neural networks.

  Language:Python36161923

• mpSchrader/gym-sokoban

  Sokoban environment for OpenAI Gym

  Language:Python334103679

• imagry/aleph_star

  Reinforcement learning with A* and a deep heuristic

  Language:Jupyter Notebook28819534

• mfinzi/equivariant-MLP

  A library for programmatically generating equivariant layers through constraint solving

  Language:Jupyter Notebook259101522

• gehring/fax

  Language:Python809199

• jinwen-yang/cuPDLP.jl

  Language:Julia577212

• bwfbowen/muax

  A project that provides help for using DeepMind's mctx on gym-style environments.

  Language:Python5251110

• ChezJrk/Teg

  A differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities.

  Language:Python375194

• petosa/multiplayer-alphazero

  PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]

  Language:Python35629

• py-stockfish/stockfish

  Integrates the Stockfish chess engine with Python (Official fork)

  Language:Python332589

• arvoelke/nengolib

  Nengo library of additional extensions

  Language:Python2941216

• aletcher/stable-opponent-shaping

  Pytorch implementation of Stable Opponent Shaping (https://openreview.net/pdf?id=SyGjjsC5tQ).

  Language:Jupyter Notebook21302

• lansiz/nash-finder

  Find Nash equilibrium for all games

  Language:Python19103

• levilelis/h-levin

  Levin tree search guided by both a policy and a heuristic function

  Language:Python16567

• lowrollr/mctx-az

  Monte Carlo tree search in JAX, with functionality to continue search from a previous subtree

  Language:Python15110