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

A tagger and lemmatiser for Croatian, Serbian and Slovene. Python 3 port of https://github.com/clarinsi/reldi-tagger

A two-mode (standard, nonstandard) tokeniser for Croatian, Serbian and Slovene. Python 3 port of https://github.com/clarinsi/reldi-tokeniser

Python package for communicating with the duckling-http server, additionally it handles Slovene by using translation services.

Entity expert as a service.

This project contains some LES results obtained during the collaboration on fluid-solid thermal coupling between EDF R&D and IJS.

Text classification.

Snowball stemmer for Slovenian.

Python library for interaction with CardioBrainSignals device.

The present project contains the data and source for the publication of C. Flageul and I. Tiselj called 'Convergence rate of individual and global quantities in Direct Numerical Simulations' and published as a letter in the journal Physics of Fluids.

During my PhD, I was using Incompact3d (http://www.incompact3d.com/) to perform DNS (Direct Numerical Simulation) of the turbulent channel flow with (conjugate) heat transfer.

See README