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A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
Complementary Code from My Blog
Randomized testing of various CFR theorems.
Chess position evaluation using neural networks
Counterfactual regret minimization algorithm for Kuhn poker
Public facing notes page
Scalable Implementation of Deep CFR and Single Deep CFR
This is an implementation of DeepStack for No Limit Texas Hold'em, extended from DeepStack-Leduc.
This repository contains implementations and illustrative code to accompany DeepMind publications
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Implementation of DeepStack
Example implementation of the DeepStack algorithm for no-limit Leduc poker
A pure Python poker hand evaluation library
Celular automaton-based calculus for the masses
Chess with an F# domain engine and a simple WPF UI.
Poker bot implemented in F#
F# game composition library
Counterfactual regret minimization algorithm for various heads up poker games
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
A toolkit for developing and comparing reinforcement learning algorithms.
Hearthstone-AI Comeptition 2019
:black_joker: OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
Python library for Reinforcement Learning experiments.
Machine learning, in numpy
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Implementation of Pluribus by Noam Brown & Tuomas Sandholm, a Superhuman AI for 6-MAX No-Limit Holdem Poker Bot.
🤖 An Open Source Texas Hold'em AI
Fully functional Pokerbot that works on PartyPoker and PokerStars. Check the wiki how to contribute! Binaries can be downloaded here.
A poker AI for NL Texas Holdem supporting any number of players, trained using Monte-Carlo Counterfactual Regret Minimization.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.