26 Open source projects that are alternatives of or similar to pyDLGO

Embeddable SGF editor/viewer for the game of Go (aka Weiqi, Baduk)

An elegant Go board and SGF editor for a more civilized age.

Leela Zero & KataGo visualizer

An immutable game tree data type.

SGF file --> GIF

Estimate Go AI ratings by real games

Simple SGF Parser for Java

American Go Association Games Database (AGAGD)

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

🐵 An AI chess-board-game framework(by many programming languages) implementations.

An implementation of improved AlphaGo algorithm in the game of Gomoku.

A Monte-Carlo based AI to beat 2048

AlphaGo Zero implementation using Flux.jl

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Adaptive Go board for flutter. Fully customisable & easy to interface with your game logic.

Quoridor AI based on Monte Carlo tree search

AlphaZero 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.

Deep Learning big homework of UCAS

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Monte 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 …

UCThello - 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)

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

datasets for computer go

alphaGo版本的五子棋(gobang, gomoku)

No description or website provided.