  HexagDLy is a Python-library extending the PyTorch deep learning framework
with convolution and pooling operations on hexagonal grids. It aims to ease the
access to convolutional neural networks for applications that rely on
hexagonally sampled data as, for example, commonly found in ground-based
astroparticle physics experiments.
