8 research outputs found
Kymatio: Scattering Transforms in Python
Full text linkThe 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
Size control of the Drosophila hematopoietic niche by bone morphogenetic rotein signaling reveals parallels with mammals
No full textInternational audienc
Image classification using SURF and bag of LBP features constructed by clustering with fixed centers
No full textTwo Independent Functions of Collier/Early B Cell Factor in the Control of Drosophila Blood Cell Homeostasis
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