Coral

A PyTorch-based neural network library for board game evaluation.

Overview

Coral provides a flexible framework for building and deploying neural networks to evaluate board game positions. It includes modular components for input conversion, neural network architectures, and output interpretation.

Features

Multiple NN Architectures: Multi-layer perceptrons, transformers, and custom models
Flexible Input/Output Conversion: Modular converters for different board representations and evaluation formats
Point-of-View Evaluation: Support for evaluating positions from different player perspectives
PyTorch Integration: Built on PyTorch with JIT compilation support for optimized inference

Installation

pip install git+https://github.com/victorgabillon/coral.git@main

Requirements

Python >= 3.13
PyTorch
valanga (board game library)

Project Structure

src/coral/
├── board_evaluation.py          # Point-of-view and evaluation types
├── chi_nn.py                     # Base neural network class
└── neural_networks/
    ├── factory.py                # NN factory pattern
    ├── nn_content_evaluator.py   # Board evaluation with NNs
    ├── models/                   # NN architectures (MLP, Transformer)
    ├── input_converters/         # Board to tensor conversion
    └── output_converters/        # NN output to evaluation conversion

License

GPL-3.0-only

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Publisher: release.yml on victorgabillon/coral

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Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: algorhino_coral-0.1.14.tar.gz
- Subject digest: 8a752960a3561048e97346e43fa13ebafacefd8deefe73cc8e47593d146ec253
- Sigstore transparency entry: 2190125873
- Sigstore integration time: Jul 17, 2026
Source repository:
- Permalink: victorgabillon/coral@dc1c1f7e602584eaf4aeb96809e56747a3ab3307
- Branch / Tag: refs/tags/v0.1.14
- Owner: https://github.com/victorgabillon
- Access: public
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- Publication workflow: release.yml@dc1c1f7e602584eaf4aeb96809e56747a3ab3307
- Trigger Event: push