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Kymatio

swMATH ID: 27074
Software Authors: Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixhin Zhang, Carmine Cella, Michael Eickenberg
Description: Kymatio: Scattering Transforms in Python. 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 this https URL https://www.kymat.io/
Homepage: https://www.kymat.io
Source Code:  https://github.com/kymatio/kymatio
Dependencies: Python
Keywords: Machine Learning; arXiv_cs.LG; Scattering Transform; GPUs; Wavelets; Convolutional Neural Networks; Invariance; Python
Related Software: Python; Scikit; PyTorch; ScatNet; NISQA; MOSNet; ViSQOL; NORESQA; fairseq; InQSS; ODL; PyWavelets; TensorFlow
Cited in: 0 Documents

Standard Articles

2 Publications describing the Software, including 1 Publication in zbMATH Year
Kymatio: scattering transforms in Python
Andreux, Mathieu; Angles, Tomás; Exarchakis, Georgios; Leonarduzzi, Roberto; Rochette, Gaspar; Thiry, Louis; Zarka, John; Mallat, Stéphane; Andén, Joakim; Belilovsky, Eugene; Bruna, Joan; Lostanlen, Vincent; Chaudhary, Muawiz; Hirn, Matthew J.; Oyallon, Edouard; Zhang, Sixin; Cella, Carmine; Eickenberg, Michael
2020
Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixhin Zhang, Carmine Cella, Michael Eickenberg
2018