Published August 2, 2023
| Version v0.11.0
Software
Open
GammaLearn
Authors/Creators
- 1. Univ. Savoie Mont-Blanc, CNRS, LAPP
Description
GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA. It provides a framework to easily train and apply models from a configuration file. Learn more at https://purl.org/gammalearn
Notes
Release Notes: GammaLearn v0.11.0 introduces conditionnal domain adaptation on protons only. It also fixes a few bugs and version requirements.
Files
gammalearn.zip
Files
(6.1 MB)
| Name | Size | Download all |
|---|---|---|
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md5:46719a33d0c981fe95d6c16b16538921
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6.1 MB | Preview Download |
Additional details
Related works
- Is derived from
- Software: git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git (URL)
- Is documented by
- Software documentation: https://gitlab.in2p3.fr/gammalearn/gammalearn/-/raw/master/README.md (URL)