mikesongming

mikesongming's Stars

• edbeeching/godot_rl_agents

  An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents

  Language:Python96470

• Unity-Technologies/ml-agents

  The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  Language:C#17.2k4.2k

• viblo/pymunk

  Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python

  Language:Python933190

• pathak22/noreward-rl

  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

  Language:Python1.4k301

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python4.9k499

• data-exp-lab/inheritance_explorer

  Language:Python63

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k303

• lewisKit/Amortized_SVGD

  Experiments of amortized stein variational gradient

  Language:Terra168

• DartML/Stein-Variational-Gradient-Descent

  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

  Language:Python9539

• karlnapf/kernel_goodness_of_fit

  Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton

  Language:Python247

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.5k1.4k

• google/gin-config

  Gin provides a lightweight configuration framework for Python

  Language:Python2.1k113

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.3k7.9k

• yingchengyang/Reinforcement-Learning-Papers

  Related papers for reinforcement learning, including classic papers and latest papers in top conferences

  31020

• sail-sg/envpool

  C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

  Language:C++1.1k100

• martinseilair/learningoptimalcontrol

  Great resources for learning optimal control

  178

• mpi4py/mpi4py

  Python bindings for MPI

  Language:Python814120

• minrk/IPython-parallel-tutorial

  tutorial materials for IPython.parallel

  Language:Python11149

• ipython/ipyparallel

  IPython Parallel: Interactive Parallel Computing in Python

  Language:Jupyter Notebook2.6k1k

• Farama-Foundation/AutoROM

  A tool to automate installing Atari ROMs for the Arcade Learning Environment

  Language:Python7721

• wolph/numpy-stl

  Simple library to make working with STL files (and 3D objects in general) fast and easy.

  Language:Python628107

• openai/mujoco-worldgen

  Automatic object XML generation for Mujoco

  Language:Python521108

• google-deepmind/mujoco_menagerie

  A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

  Language:Jupyter Notebook1.4k202

• andrewsiah/spinningup_pytorch

  An educational resource to help anyone learn deep reinforcement learning, with support for PyTorch

  Language:Python102

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34k5.8k

• Stable-Baselines-Team/stable-baselines

  Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  Language:Python28660

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.2k820

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB3.9k520

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.6k4.8k

• automl/mdp-playground

  A python package to design and debug RL agents.

  Language:Python286