Published March 27, 2023
| Version v0.10
Software
Open
GammaLearn
Authors/Creators
- 1. Univ. Savoie Mont-Blanc, CNRS, LAPP
- 2. 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 v10.0 introduces new domain adaptation techniques with DeepJDot and DeepCoral. The data loading of the vision datasets has been refactored to make it more general. The containerization is improved with an environment layer using mamba. The documentation has been improved.
Files
gammalearn.zip
Files
(3.8 MB)
| Name | Size | Download all |
|---|---|---|
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md5:fc3872002f9d9540ec2440e1ef2a7283
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3.8 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)