Machine Learning Based Data Compression
Project description
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:
- Train a machine learning model on your data
- Compress your data with that model, and save the model
- 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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