TY  - JOUR
A1  - Steppa, Constantin Beverly
A1  - Holch, Tim Lukas
T1  - HexagDLy-Processing hexagonally sampled data with CNNs in PyTorch
JF  - SoftwareX
N2  - 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.
KW  - Convolutional neural networks
KW  - Hexagonal grid
KW  - PyTorch
KW  - Astroparticle physics
Y1  - 2019
U6  - https://doi.org/10.1016/j.softx.2019.02.010
SN  - 2352-7110
VL  - 9
SP  - 193
EP  - 198
PB  - Elsevier
CY  - Amsterdam
ER  -