README.md

See detailed information gathered in the use case master document available at: https://bscw.zam.kfa-juelich.de/bscw/bscw.cgi/d2640846/UseCasesMasterDocument.docx


List of available use cases
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RAMP Astro benchmark: Galaxy deblending
- Authors:
          Bertrand Rigaud - <bertrand.rigaud@cc.in2p3.fr>
          Alexandre Boucaud - <aboucaud@lal.in2p3.fr>
- Description: See README.md
- Type: script
- Language: python 3
- Environment: Singularity (2.4.2) or python 3.6+, tensorflow, Keras
- Tag:
- Output: data files and visualization:
               - batch files (output, error)
               - results (results.csv)
               - neural network model (unet_weights-best.h5)
               - train history plot (train_history.png)
- url:https://repository.prace-ri.eu/git/Data-Analytics/Use-Cases/tree/master/Ramp-Astro

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