Open source neural network chess engine with GPU acceleration and broad hardware support.

Maia is a human-like neural network chess engine trained on millions of human games.

Neural network-based chess engine capable of natural language commentary

Maia-2 is a new human-like neural network chess engine trained on millions of human games.

UCI chess engine using neural networks for position evaluation

Strong neural-network chess engine written in C++

A strong UCI chess engine with a neural network based evaluation.

📌 +2500 elo Machine Learning based chess engine + Game Theory Algorithms , made from basic chess rules + neural networks + evaluation function

A neural net chess engine in 95 lines of python

UCI Chess engine Stockfish with an Efficiently Updatable Neural-Network-based evaluation function

A strong chess engine which uses a neural network to evaluate positions

Neural Network training repository for the Black Marlin chess engine

Chess engine that uses neural network to decide on moves

A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.

a chinese chess engine using conv neural network with zero look-ahead

A chess implementation in C++ with many player AIs, including a neural-network-powered AI not unlike Deepmind's AlphaZero chess engine....

Neural Network + Monte Carlo Tree Search powered Chess engine

Codes for Skilled Chess Commentator: ACL'19 paper "Automated Chess Commentator Powered by Neural Chess Engine"

A Neural Network based chess engine and GUI made with Python and Tensorflow/Keras.

A chinese chess(Xiangqi, 象棋) engine based on convolution neural network and Monte Carlo tree search which support UCCI protocol.

A neural-network-based chess engine.

Simple python implementation of Chess Engine using probability based tree search and neural networks

Neural chess engine that plays by intuition, not search. Inspired by DeepMind's searchless chess research.

BetaChess is an MCTS-based Chess Engine with Deep Neural Networks inspired by AlphaZero, featuring customizable DNN architecture, self-play training with MCTS, and UCI support.

A neural network-based chess engine

Oreo Chess Engine. A convolutional neural network with Alpha-beta pruning, trained on master games from lichess.

A neural network chess engine inspired by Giraffe

An aggressive chess engine built on Monte Carlo Tree Search, designed to be trained with deep neural networks to emulate the playing style of the legendary grandmaster Mikhail Tal

Second iteration of the ChePT Neural Chess Engine. ChePT is a deep neural transformer based chess engine that not only plays moves learned from observing millions of high-level chess games, but presents cogent multilingual commentary describing the current game state, and intuition behind move choices.

Crafted within weeks, a strong C++ neural network-based chess engine.