GitLab

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

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

This is an example repo for kufair: https://gitlab.aip.de/kufair/kufair

A REST API to submit ArchDescr and Generate Archives

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).

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 useful surveys and other things

Notebooks and related for the ML workshop at DESY