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Machine Learning Based Data Compression

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Introduction

Baler is a tool used to test the feasibility of compressing different types of scientific data using machine learning-based autoencoders. Baler provides you with an easy way to:

  1. Train a machine learning model on your data
  2. Compress your data with that model, and save the model
  3. Decompress the file using the model at a later time

Getting Started

Baler now exists as a pip package which you can install through:

pip install baler-compressor

For examples on how to use Baler we recommend following the tutorial from our baler-demo repository: https://github.com/baler-collaboration/baler-demo

Contributing

If you wish to contribute, please see the contribution guidelines.

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