# blusky

**Repository Path**: mirrors_enthought/blusky

## Basic Information

- **Project Name**: blusky
- **Description**: BluSky
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-08
- **Last Updated**: 2026-06-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

BluSky - A Python implementation of the wavelet scattering transform
====================================================================

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

Installation
------------
Install the dependencies in a Conda environment:
```
conda create -n blusky python=3.8.5 traits matplotlib scikit-learn
conda activate blusky
python -m pip install tensorflow==2.4
```

Install BluSky from source:
```
git clone git@github.com:enthought/blusky.git
cd blusky
python -m pip install -e .
```

Getting Started
---------------
- 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


Support
-------
This effort was supported by [Sandia National Labs](https://www.sandia.gov/) with development and maintenance support 
by [Enthought](https://www.enthought.com).

![Enthought logo](/blusky/images/enthought-logo.png)