Year: 2019
Type: software-paper
Abstract: 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.
Source: SoftwareX
Authors: Constantin Steppa, Tim L. Holch
Institutions: University of Potsdam, Humboldt-Universität zu Berlin
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $500
OpenAlex ID: W2918839415