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Jupyter notebooks for the lecture series Knowledge Graphs
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Jupyter notebooks for the lecture series "Introduction to Artificial Intelligence".
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Energy Systems and Energy Economics / Backbone Tools
GNU General Public License v3.0 or laterUpdated -
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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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An analysis suite for Scanning Electrochemical Cell Microscopy (SECCM) results. Collaborators: Markus Stricker, Corina Andronescu, Wolfgang Schuhmann, Emmanuel Tetteh, Alfred Ludwig
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Python toolbox to visualize tracked coordinates from pose estimation software such as DeepLabCut and Anipose
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Jupyter notebooks for the lecture series Knowledge Graphs
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The void analysis implements an algorithm to identify segregation sites in the atomic structure.
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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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Sheng-Han Teng / p1-defect_study
GNU General Public License v3.0 or laterUpdated -
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.
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Markus Anthony Stricker / Ferrowallnucleation
GNU General Public License v3.0 or laterUpdated -
Lars Banko / generative-structure-zone-diagrams
Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalUpdated