Kymatio: Scattering Transforms in Python
Machine Learning
2022-06-01 v3 Computer Vision and Pattern Recognition
Sound
Audio and Speech Processing
Machine Learning
Abstract
The wavelet scattering transform is an invariant signal representation suitable for many signal processing and machine learning applications. We present the Kymatio software package, an easy-to-use, high-performance Python implementation of the scattering transform in 1D, 2D, and 3D that is compatible with modern deep learning frameworks. All transforms may be executed on a GPU (in addition to CPU), offering a considerable speed up over CPU implementations. The package also has a small memory footprint, resulting inefficient memory usage. The source code, documentation, and examples are available undera BSD license at https://www.kymat.io/
Keywords
Cite
@article{arxiv.1812.11214,
title = {Kymatio: Scattering Transforms in Python},
author = {Mathieu Andreux and Tomás Angles and Georgios Exarchakis and Roberto Leonarduzzi and Gaspar Rochette and Louis Thiry and John Zarka and Stéphane Mallat and Joakim andén and Eugene Belilovsky and Joan Bruna and Vincent Lostanlen and Muawiz Chaudhary and Matthew J. Hirn and Edouard Oyallon and Sixin Zhang and Carmine Cella and Michael Eickenberg},
journal= {arXiv preprint arXiv:1812.11214},
year = {2022}
}