Ceres Chess Engine

[mehmet1921]

Ceres (MCTS chess engine for research and recreation)

Ceres (Chess Engine for Research) is:

A state-of-the-art UCI-compliant chess engine employing the AlphaZero-style Monte Carlo Tree Search and deep neural networks
A flexible, modular and efficient software library with an exposed API to facilitate research in computer chess
A set of integrated tools for chess research (e.g for position analysis, suite testing, tournament manager)
The Ceres MCTS engine is a novel implementation written in C# for the Microsoft .NET 5 framework.
This system comprises about 50,000 lines of source in 400 source code files, developed as a way to try to make something good come of COVID confinement. The underlying neural networks (and backend code to execute them) and backend code are currently mostly borrowed from the LeelaChessZero project via a "plug-in" architecture.

It is important to acknowledge that this project stands "on the shoulders of giants" - the pioneers in the field such as DeepMind with their AlphaZero project and the ongoing Leela Chess Zero project.


For more information about Ceres:
https://github.com/dje-dev/Ceres