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GammaLearn
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
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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
License
Contributors
MJ
Mikael Jacquemont
Univ. Savoie Mont-Blanc, CNRS, LAPP
0000-0002-4012-6930TV
Thomas Vuillaume
Univ. Savoie Mont-Blanc, CNRS, LAPP
0000-0002-5686-2078MD
Michaël Dell'aiera
Univ. Savoie Mont-Blanc, CNRS, LAPP
0000-0002-5221-0240TT
Thomas Trivellato
Univ. Savoie Mont-Blanc, CNRS, LAPP
0000-0003-1536-9241TF
Tom François
Univ. Savoie Mont-Blanc, CNRS, LAPP
0000-0001-5226-3089VP
Vincent Pollet
Univ. Savoie Mont-Blanc, CNRS, LAPP
JT
Justine Talpaert
Univ. Savoie Mont-Blanc, CNRS, LAPP
0000-0001-9582-451XMember of community
