PyScatter: A Python implementation of generalized scattering networks

The PyScatter package provides a Python implementation of generalized scattering networks---a family of deep convolutional neural networks well-suited for feature extraction tasks (e.g., in classification, regression, or segmentation). The package allows to build generalized scattering networks with the following building blocks (i.e., filters, non-linearities, and pooling operations): Methods to visualize the scattering tree as well as the employed filters are included.

Reference

M. Tschannen, T. Kramer, G. Marti, M. Heinzmann, and T. Wiatowski, "Heart sound classification using deep structured features," Computing in Cardiology (CinC), Vancouver, Canada, pp. 565-568, Sept. 2016.

Code

Python code of the scattering transform: Please include a reference to the paper referenced above if you use the code in your research.