omniscientoctopus

omniscientoctopus's Stars

• github/gitignore

  A collection of useful .gitignore templates

  163k3.4k083.1k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.5k286422.3k

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3.1k23206380

• n2cholas/awesome-jax

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

  1.6k498132

• lilipads/gradient_descent_viz

  interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

  Language:C++1.2k1211123

• clvrai/awesome-rl-envs

  1.1k31484

• facebookresearch/mbrl-lib

  Library for Model Based RL

  Language:Python9672567157

• opendilab/awesome-model-based-RL

  A curated list of awesome model based RL resources (continually updated)

  95138151

• Replicable-MARL/MARLlib

  One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

  Language:Python95011155155

• chi-feng/mcmc-demo

  Interactive Markov-chain Monte Carlo Javascript demos

  Language:JavaScript806267115

• dustinvtran/latex-templates

  A collection of LaTeX templates used for research, courses, and miscellanea.

  Language:TeX747202151

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python740112262

• kengz/awesome-deep-rl

  A curated list of awesome Deep Reinforcement Learning resources.

  68932071

• Bigpig4396/Multi-Agent-Reinforcement-Learning-Environment

  Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

  Language:Python67297125

• gordicaleksa/get-started-with-JAX

  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

  Language:Jupyter Notebook6669097

• Svalorzen/AI-Toolbox

  A C++ framework for MDPs and POMDPs with Python bindings

  Language:C++650336098

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python447103881

• marl-book/codebase

  Official code repo for the MARL book (www.marl-book.com)

  Language:Python38712960

• proroklab/VectorizedMultiAgentSimulator

  VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

  Language:Python35096071

• benmoseley/FBPINNs

  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

  Language:Python324122265

• Farama-Foundation/MO-Gymnasium

  Multi-objective Gymnasium environments for reinforcement learning

  Language:Python29272339

• instadeepai/flashbax

  ⚡ Flashbax: Accelerated Replay Buffers in JAX

  Language:Python215131311

• openrlbenchmark/openrlbenchmark

  Language:Python202769

• sunblaze-ucb/rl-generalization

  Modifiable OpenAI Gym environments for studying generalization in RL

  Language:Python8612914

• gdalle/phd-resources

  Not the research toolbox you deserve, but the one you need right now.

  Language:HTML60515

• dagghe/PyOMA

  Language:Python5191124

• cvaad-workshop/iccv23-challenge

  Floor plan auto-completion on the Modified Swiss Dwellings (MSD) dataset

  Language:Jupyter Notebook40335

• moratodpg/imp_marl

  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL

  Language:Python35255

• AI-for-Infrastructure-Management/imp-act

  Language:Jupyter Notebook42262

• giarcieri/Robust-optimal-maintenance-planning-through-reinforcement-learning-and-domain-randomization

  Language:Python4100