A deep-learning chess model that learns from grandmaster games (behavioral cloning, à la Maia). A residual CNN with a policy head (which move) and a value head (how good the position is), plus an optional shallow look-ahead search so it avoids hanging pieces.

Trained on CPU-friendly inference; see the repo README for how to play (terminal or a clickable Colab board).