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There is an abundance of go software available to support players of the game of Go.This includes software programs that play Go themselves, programs that can be used to view and/or edit game records and diagrams, programs that allow the user to search for patterns in the games of strong players and programs that allow users to play against each other over the Internet.
Leela is a computer Go software developed by Belgian programmer Gian-Carlo Pascutto, [1] [2] [3] the author of chess engine Sjeng.It won the third place for 19x19 board Go and the second place for 9x9 board Go at the Computer Olympiad in 2008, [1] [4] and won the eighth place in the 1st World AI Go Tournament in August 2017. [5]
Leela Zero is a free and open-source computer Go program released on 25 October 2017. It is developed by Belgian programmer Gian-Carlo Pascutto, [1] [2] [3] the author of chess engine Sjeng and Go engine Leela. [4] [5] Leela Zero's algorithm is based on DeepMind's 2017 paper about AlphaGo Zero.
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Tygem (Korean: 타이젬바둑) is an internet go server owned by South Korean company TongYang Online. Popular in Asia, their website states that over 500 professional Go players use their service. [1] Tygem was founded as ICBL by Cho Hun-hyun in 2000, and renamed to Tygem in 2001, invested by Tongyang Group and JoongAng Ilbo. [2]
KataGo is a free and open-source computer Go program, capable of defeating top-level human players. First released on 27 February 2019, it is developed by David Wu, [1] who also developed the Arimaa playing program bot_Sharp which defeated three top human players to win the Arimaa AI Challenge in 2015.
The first 60 moves of a Go game between Cho Chikun (white) and Kato Masao, animated. This particular game quickly developed into a complicated fight in the lower left and bottom. (Click on the board, to restart the play, in a larger window.)
Fine Art (Chinese: 绝艺; pinyin: Jué Yì) is a Go-playing computer program created by Chinese media company Tencent.. Development reportedly started [1] in early 2016, around the time AlphaGo's successes, first against Fan Hui and later against Lee Sedol, showed that deep-learning neural networks combined with Monte Carlo algorithms were effective in computer Go.
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