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Paper detail

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 https://www.kymat.io/

preprint2022arXivOpen access
Mathieu AndreuxTomás AnglesGeorgios ExarchakisRoberto LeonarduzziGaspar RochetteLouis ThiryJohn ZarkaStéphane MallatJoakim AndénEugene BelilovskyJoan BrunaVincent LostanlenMuawiz ChaudharyMatthew J. HirnEdouard OyallonSixin ZhangCarmine CellaMichael Eickenberg
eess.ASComputer VisionMachine LearningSound
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Mathieu AndreuxTomás AnglesGeorgios ExarchakisRoberto LeonarduzziGaspar RochetteLouis ThiryJohn ZarkaStéphane MallatJoakim AndénEugene BelilovskyJoan BrunaVincent LostanlenMuawiz ChaudharyMatthew J. HirnEdouard OyallonSixin ZhangCarmine CellaMichael Eickenberg

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