Train a deep learning model to play Chinese chess at a high skill level.
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icyChessZero has 420 stars on GitHub. It has been forked 74 times. icyChessZero is written mainly in Jupyter Notebook. It has been in active development since 2018. icyChessZero is available under the MIT license. Its main topics are alphago, alphago-zero, chinese, chinese-chess.
中国象棋alpha zero程序
icyChessZero is an open-source project. It is released under the MIT license.
Yes. icyChessZero is free and open source — you can use, modify and self-host it.
icyChessZero is available under the MIT license.
icyChessZero is written mainly in Jupyter Notebook.
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