Skip to main content

Machine Learning Based Data Compression

Project description

DOI
License
example workflow example workflow

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. This will also save the compressed file and 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 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

baler_compressor-0.0.5.tar.gz (12.6 MB view hashes)

Uploaded Source

Built Distribution

baler_compressor-0.0.5-py3-none-any.whl (32.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page