GitLab

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

The select-meaningful-features step: in this step we set the meaningfulness of each plates, and of each feature

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.

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

Webapp for online elections at AIP

First demo for NFDI-PUNCH4 TA4

Compare input objects against catalogues, extract data and create PDF

orchest repo from ml_solar_plates

The docker related project for the pipeline

the pipeline repo for the ml_solar_plate project

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

Bibtex files for usefuls surveys and other things

Notebooks and related for the ML workshop at DESY

The test instance of daiquiri

try to build my own image

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

Notebooks and related for the ML workshop at AIP