the label-features step: in this step the pixels that may be part of a sunspots are grouped in regions and each region is labeled as a feature, the number of feature per plate is computed on the fly.

Lithium abundance fitting functions

This is a set of python3 scripts that allows you to create light curves for a table of coordinates. Supported light curves are: eROSITA, ATLAS, WISE, ZTF-CRTS, XMM-ULS, XMM-ULS + eROSITA.

Style sheet and an example for markdown-presentations using remark.js

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

A java implementation of the FITS 3.0 standard

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

The single repo pipeline of the ML solar plate project. Compatible with KuFAIR

The modern pipeline code (prototype). Provide a config file, it builds the pipeline, setups a traceable environment, and run the pipeline on a K8s cluster (assuming access to some PV).

My Design Gui is a gui for the design module of myplotlib

[python] a library for a cleaner usage of matplotlib features.

[python] mypltemplate is a project template for using myplotlib

First demo for NFDI-PUNCH4 TA4

Adaptive mesh refinement computer code for chemo-gravito-magneto-gasdynamical simulations in astrophysics

Testing project for deployment in OKD

This is the example how to deploy OKD python applications

orchest repo from ml_solar_plates

Compare input objects against catalogues, extract data and create PDF