BluSky is a Python library for that implements the Mallat wavelet scattering transform using Keras/Tensorflow. Features include:

• 1D, 2D transforms. 3D on the way.
• arbitrary order
• Morlets & Gabor, modular library allows for arbitrary wavelets(?)
• built in visualization of transform coefficients

The requirements for installing BluSky are:

• numpy
• traits
• pillow
• tensorflow<=1.14
• keras<=2.2.4-8
• matplotlib

Instructions to install from scratch. Show edm instructions, as well as conda.

edm install tensorflow keras TODO: test this install proceure

Should include conda install instructions (eventually).

Does anything need to be pip install'ed after edm?

Include instructions for getting this to run on a GPU.

edm install tensorflow-gpu...

• wavelet scattering transform, implemented as a series of convolutions using Keras and Tensorflow.
• following the approach of Bruna, and Mallat (refs)
• the transform is implemented as a convolutional neural network. intermediate activations are easily interrogated to enable easy interrogation of the signal as it propagates through the cascade

This introductory notebook describes the basic operation of the library, how to create the transform object and apply it to sample data. This notebook demonstrates more features of the 2D transform, including how to visualize the transform to different orders.