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Jupyter notebooks for the lecture series Knowledge Graphs

Jupyter notebooks for the lecture series "Introduction to Artificial Intelligence".

Basic perceptron tutorial using a jupyter notebook.

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

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

PropPy is an open-source python software for propagating charged high-energy particles (cosmic rays) in astrophysical environments

Jupyter notebooks for the lecture series "Introduction to Artificial Intelligence".

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.

A synchronized multiview video recording setup in C++ using FLIR cameras and Spinnaker SDK on Windows machines.

Jupyter notebooks for the lecture series Knowledge Graphs