monodu

monodu's Stars

• spring-projects/spring-boot

  Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.

  Language:Java75.7k3.4k36.5k40.8k

• facebook/folly

  An open-source C++ library developed and used at Facebook.

  Language:C++28.6k1k1.2k5.6k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.8k8641556.1k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19.1k536496.3k

• electronicarts/CnC_Remastered_Collection

  Language:C++18.4k5241004.7k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.9k6428504.9k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k461503.8k

• redis/hiredis

  Minimalistic C client for Redis >= 1.2

  Language:C6.3k2927221.8k

• zhedahht/CodingInterviewChinese2

  《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

  Language:C++5.3k149832.2k

• OUCMachineLearning/OUCML

  Language:Python4.6k149101.3k

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.8k133741.2k

• dragen1860/Deep-Learning-with-PyTorch-Tutorials

  深度学习与PyTorch入门实战视频教程 配套源代码和PPT

  Language:Python2.9k70121.3k

• bslatkin/effectivepython

  Effective Python: Third Edition — Source Code and Errata for the Book

  Language:Python2.3k95119722

• facebookresearch/ELF

  An End-To-End, Lightweight and Flexible Platform for Game Research

  Language:C++2.1k12490284

• darkTianTian/sword-for-offer

  使用Python3用优雅的方式实现《剑指Offer》中的题目。

  Language:Python53716097

• AlexStocks/muduo

  a muduo branch without boost and cmake, just using c++11 and makefile

  Language:C++22722170

• int8/counterfactual-regret-minimization

  Counterfactual regret minimization algorithm for Kuhn poker

  Language:Python16411143

• yogykwan/design-patterns-py

  《大话设计模式》Python实现

  Language:Python13910056

• datamllab/rlcard-tutorial

  Python and R tutorial for RLCard in Jupyter Notebook

  Language:Jupyter Notebook837115

• gavento/gamegym

  A game theory framework with examples and algorithms

  Language:Python731118

• younggyoseo/pytorch-nfsp

  Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)

  Language:Python453210

• indylab/nxdo

  Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games

  Language:Python37438

• ivegner/PokerOmega

  Reinforcement-Learning AI that plays Texas Hold'em

  Language:Python3510121

• godmoves/Poker_CFR

  Counterfactual Regret Minimization for poker games

  Language:Jupyter Notebook19101

• Jingho/Deepstack-for-Bucket

  Potential-Aware Imperfect-Recall Abstraction with Earth Mover’s Distance in Imperfect-Information Games

  Language:Python16225

• cgnicholls/rlpoker

  Reinforcement learning algorithms to play Poker

  Language:Python15527

• shoq/cfr

  Monte Carlo Conterfactual Regret Minimization for imperfect information games

  Language:Python13204

• thomasj02/nfsp-pytorch

  Neural Fictitious Self-Play in Pytorch

  Language:Python7111

• VinQbator/leduc

  OpenAI Gym environment for Leduc Hold'em

  Language:Python50

• dhfromkorea/nfsp-poker

  Language:Python3211