Maia is a collection of neural network chess engines trained to mimic human playing behavior at various skill levels rather than maximize pure playing strength. The models are saved as Leela Chess Zero neural networks and include code for training new models and reproducing research results. Multiple versions have been released including Maia-2 (NeurIPS 2024) and Maia-3 with the Chessformer architecture.