besogoEmbeddable SGF editor/viewer for the game of Go (aka Weiqi, Baduk)
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Mutual labels: baduk, weiqi, goban
SabakiAn elegant Go board and SGF editor for a more civilized age.
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godpaper🐵 An AI chess-board-game framework(by many programming languages) implementations.
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sgf to gifSGF file --> GIF
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Mutual labels: baduk, weiqi
sgf4jSimple SGF Parser for Java
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Mutual labels: baduk, weiqi
agagdAmerican Go Association Games Database (AGAGD)
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Mutual labels: baduk, weiqi
immutable-gametreeAn immutable game tree data type.
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Mutual labels: baduk, weiqi
GoAIRatingsEstimate Go AI ratings by real games
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lizgobanLeela Zero & KataGo visualizer
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Mutual labels: baduk, weiqi
Alphazero gomokuAn implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
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Mutual labels: mcts, alphago
Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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Mutual labels: mcts, alphago
quoridor-aiQuoridor AI based on Monte Carlo tree search
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Mutual labels: mcts
alpha-zeroAlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.
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Mutual labels: mcts
AlphaGo.jlAlphaGo Zero implementation using Flux.jl
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Mutual labels: alphago
AlphaZero GobangDeep Learning big homework of UCAS
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Mutual labels: mcts
Deep RL with pytorchA pytorch tutorial for DRL(Deep Reinforcement Learning)
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Mutual labels: mcts
jupiterA Monte-Carlo based AI to beat 2048
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Mutual labels: mcts
MCTS-agent-pythonMonte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …
Stars: ✭ 22 (-33.33%)
Mutual labels: mcts
UCThelloUCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
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Mutual labels: mcts
15 by 15 AlphaGomokuAn implementation of improved AlphaGo algorithm in the game of Gomoku.
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Mutual labels: alphago
