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Jupyter kernel with ROOT for the Z-Boson experiment of the laboratory class in particle physics offered at the RWTH physics institute 3A/B.
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Repository containing cross-compilation toolchain for the smart garden project
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Adding another work product to an Guerrilla Analytics project (based on a cookiecutter template)
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Example of a Wasserstein GAN (WGAN) WGAN learns to generate air shower footprints
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A web-interface for running Python-NEURON models in a server backend. Built with flask. This is meant for remote teaching, absolutely not for heavy simulations.
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This project is a research object for the publication "Do Resilience Metrics of Water Distribution Systems Really Assess Resilience? A Critical Review" by the following authors:
Michaela Leštáková, orcid: 0000-0002-5998-6754 (Corresponding author: michaela.lestakova@fst.tu-darmstadt.de) Kevin T. Logan, orcid: 0000-0001-5512-2679 Imke Rehm, orcid: 0000-0001-9751-3934 John Friesen, orcid: 0000-0003-2530-1363 Peter F. Pelz, orcid: 0000-0002-0195-627XUpdated -
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Jupyter Kernel with ROOT for the Laboratory Class in Particle Physics offered at the RWTH physics institute 3B.
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Code and reference files for my Master Thesis with the title "Modelling of a Liquid Leaf Target TNSA Experiment using Particle-In-Cell Simulations and Deep Learning".
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Code for the automation of the VNN-COMP, used in 2022
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