Topic: alphago Goto Github
Some thing interesting about alphago
Some thing interesting about alphago
alphago,9x9 AlphaGo
User: aleum
alphago,General Go/Baduk books, problems, pro games & more
User: benkyobaduk
alphago,A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
User: blinkdl
alphago,**象棋alpha zero程序
User: bupticybee
alphago,A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available
User: cestpasphoto
alphago,基於深度學習的 GTP 圍棋(围棋)引擎,KGS 指引文件以及演算法教學。
User: cglemon
alphago,A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
User: cgreer
alphago,This is a tutorial written for Caffe2 which mocks google AlphaGo Fan and AlphaGo Zero.
User: davinwang
alphago,A student implementation of Alpha Go Zero
User: dylandjian
alphago,AlphaGo inspired TSP Heuristic Solver
User: flixpar
alphago,deep-learning agent inspired by alpha go
User: gregory-eales
alphago,alphaGo版本的五子棋(gobang, gomoku)
User: guoyi0
alphago,A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.
User: hardcorejosh
alphago,An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
User: initial-h
alphago,An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
User: junxiaosong
alphago,Tic Tac Toe with Alpha Zero method - My first work
User: kekmodel
alphago,Computer go engine using Monte-Carlo Tree Search written in Python3.
User: kobanium
alphago,
User: kongjiellx
alphago,基于miniGo的幻影围棋AI,2019**计算机博弈大赛幻影围棋组冠军;AI of Phantom Go based on miniGo
User: liu8018
alphago,Naive Implementation to mimic AlphaGo next move.
User: lizichen
alphago,BetaGo: AlphaGo for the masses, live on GitHub.
User: maxpumperla
Home Page: http://maxpumperla.github.io/betago
alphago,Code and other material for the book "Deep Learning and the Game of Go"
User: maxpumperla
Home Page: https://www.manning.com/books/deep-learning-and-the-game-of-go
alphago,A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
User: michaelnny
alphago,Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
User: navreeetkaur
alphago,Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies
User: novoselov-ab
alphago,(Yet Another) AlphaZero-based Go Engine
User: p3achyjr
Home Page: https://p3achyjr.github.io/p3achygo-page/
alphago,A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:
User: queensgambit
Home Page: https://lichess.org/@/CrazyAra
alphago,CrazyAra - A Deep Learning UCI-Chess Variant Engine written in C++ :bird:
User: queensgambit
Home Page: https://lichess.org/@/CrazyAra
alphago,This is my implementation of the DeepMind's AlphaZero algorithm for the Game of Go
User: rkc007
alphago,Deep Reinforcement Learning to Play 2048 (with Keras)
User: sergioiommi
alphago,Othello AI (AlphaGo's PV-MCTS algorithm)
User: shionhonda
alphago,A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
User: suragnair
alphago,PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
User: sweetice
alphago,AlphaGo Zero implementation using Flux.jl
User: tejank10
Home Page: https://fluxml.ai/experiments/go
alphago,AI-driven, Multiplayer Go/Weiqi/Baduk for the web 🐛🤖🦀♟
User: terkwood
Home Page: https://go.terkwood.farm
alphago,c++ implementation of alphagozero
User: unrealgo
alphago,Reinforcing Your Learning of Reinforcement Learning
User: urinx
alphago,A replication of Alpha(Go) Zero.
User: water-vapor
Home Page: http://alphazero.rtfd.io
alphago,MuZero
User: werner-duvaud
Home Page: https://github.com/werner-duvaud/muzero-general/wiki/MuZero-Documentation
alphago,:monkey_face: An AI chess-board-game framework(by many programming languages) implementations.
User: yangboz
Home Page: http://godpaper.cn
alphago,datasets for computer go
User: yenw
alphago,Meta-Zeta是一个基于强化学习的五子棋(Gobang)模型,主要用以了解AlphaGo Zero的运行原理的Demo,即神经网络是如何指导MCTS做出决策的,以及如何自我对弈学习。源码+教程
User: youjiazhang
alphago,An implementation by AlphaZero algorithm for Gomoku (Gobang / Five Chess)
User: zhixiangli
alphago,
User: zouyih
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