Kymatio: Scattering Transforms in Python - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Machine Learning Research Année : 2020

Kymatio: Scattering Transforms in Python

Résumé

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/

Dates et versions

hal-02945354 , version 1 (22-09-2020)

Identifiants

Citer

Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, et al.. Kymatio: Scattering Transforms in Python. Journal of Machine Learning Research, 2020, 21 (60), pp.1-6. ⟨hal-02945354⟩
449 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More