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Lars Banko / generative-structure-zone-diagrams
Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalUpdated -
Jupyter notebooks for the lecture series "Introduction to Artificial Intelligence".
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Basic perceptron tutorial using a jupyter notebook.
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Using markerless pose estimation, behavioral segmentation and generative models to feed synthetic data into a virtual pigeon
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Patrick Reichherzer / PropPy - Correlated random walk propagation of cosmic rays in magnetic turbulence
MIT LicensePropPy is an open-source python software for propagating charged high-energy particles (cosmic rays) in astrophysical environments
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Jupyter notebooks for the lecture series "Introduction to Artificial Intelligence".
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Markus Anthony Stricker / pyiron_exp_utils
GNU General Public License v3.0 or laterTestbed 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.
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Alexander Hartmaier / ML-Tutorial
GNU General Public License v3.0 or laterUpdated -
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Kilian Modersitzki / VIIRS-DNB-Trend-Analyser
MIT LicenseUpdated -
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Jupyter notebooks for the lecture series Knowledge Graphs
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Jupyter notebooks for the lecture series Knowledge Graphs
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IKN / syncFLIR
MIT LicenseA synchronized multiview video recording setup in C++ using FLIR cameras and Spinnaker SDK on Windows machines.
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Python toolbox to visualize tracked coordinates from pose estimation software such as DeepLabCut and Anipose
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