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Source: baler
Priority: optional
Maintainer: Mattias Ellert <mattias.ellert@physics.uu.se>
Build-Depends:
debhelper-compat (= 13),
dh-python,
python3,
pybuild-plugin-pyproject,
python3-poetry-core,
python3-pytest,
python3-torch,
python3-tqdm,
python3-matplotlib,
python3-sklearn
Standards-Version: 4.6.2
Section: science
Vcs-Browser: https://salsa.debian.org/ellert/baler
Vcs-Git: https://salsa.debian.org/ellert/baler.git
Homepage: https://github.com/baler-collaboration/baler/
Package: python3-baler
Section: python
Architecture: amd64 arm64 ppc64el s390x riscv64
Multi-Arch: foreign
Depends:
${python3:Depends},
${misc:Depends}
Description: Baler - a machine learning based data compression tool
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
4. Plot the performance of the compression/decompression
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