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Fork of https://github.com/jupyterhub/zero-to-jupyterhub-k8s

Jupyter kernel with ROOT for the Z-Boson experiment of the laboratory class in particle physics offered at the RWTH physics institute 3A/B.

Repository containing cross-compilation toolchain for the smart garden project

A small, quick and dirty program for teaching psychoacoustics

The C++ microcontroller framework xpcc

Adding another work product to an Guerrilla Analytics project (based on a cookiecutter template)

Example of a Wasserstein GAN (WGAN) WGAN learns to generate air shower footprints

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.

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: 0000-0002-0195-627X

Jupyter Kernel with ROOT for the Laboratory Class in Particle Physics offered at the RWTH physics institute 3B.

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".

Code for the automation of the VNN-COMP, used in 2022