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A deep-learning chess engine written in Rust, partially compliant with the UCI protocol. DivineNN uses the Monte Carlo Tree Search (MCTS) algorithm to enhance the neural network policy using the neural network's value output.

Home Page: https://github.com/UE2020/DivineNN

Rust 98.67% Shell 1.33%
ai chess deep-learning deep-neural-networks machine-learning monte-carlo-tree-search search-algorithm

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