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Notebooks and related for the ML workshop at DESY

orchest repo from ml_solar_plates

the extract features steps: this step uses the threshold method to identify pixels that may be part of a sunspots

First demo for NFDI-PUNCH4 TA4

[python] a module based on myplotlib to plot results from the mean-field dynamo code of R. Hollerbach (see Hollerback R. 2000)

A REST API to submit ArchDescr and Generate Archives

A test to explore data with a web terminal

Moving files aroung grafana and draio and cloud.aip.de

Post-commit hook for SVN to post a comment to the proper Jira.

A machine learning library to detect solar spots on APPLAUSE solar plates: https://www.plate-archive.org/applause/

the pipeline repo for the ml_solar_plate project

K2SC de-trended light curves of stars in Open Clusters in K2. Used the re-processed, final version of the data products provided by MAST.

The extract-features-properties step: in this step we compute the geometrical/morphological properties of each meaningful features

Bibtex files for useful surveys and other things