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)

https://github.com/dje-dev/Ceres