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This is a collection of observations and best practices identified so far for using the NSC cluster at Jožef Stefan Institute.

This is an example for running the Keras (Tensorflow) deep learning job.

See README

VLM action parser module for euROBIN coopetition

Reldi services: tagger, lemmatizer, tokenizer.

Python tools for performing EIS measurements

Entity expert as a service.

An script for installing flynn. Used https://gist.github.com/eduwass/c8c15b73329a0e9699c4 as a starting point.

The present project contains the data and source for the publication of C. Flageul and I. Tiselj called 'Impact of unresolved smaller scales on the scalar dissipation rate in direct numerical simulations of wall bounded flows'.