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Jupyter notebooks for the lecture series Knowledge Graphs

Seminar S2: Einsatz von Python zur Datenauswertung im Physikalischen Grundpraktikum.

Dieses Repository bietet nur die Notebooks für den Kurs. Für die Entwicklung, siehe gitlab.rub.de/physik/gp/datenauswertung-dev.

Python toolbox to visualize tracked coordinates from pose estimation software such as DeepLabCut and Anipose

Parse, plot and analyse EC-SEIRAS data

Using markerless pose estimation, behavioral segmentation and generative models to feed synthetic data into a virtual pigeon

The void analysis implements an algorithm to identify segregation sites in the atomic structure.

Testbed for using pyiron as a driver for optimizing the number of measurements in an experiment using a Gaussian Process.

Data and template code were provided by Lars Banko. Refactoring to object-oriented design by Markus Stricker.