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This package accompanies my Master's thesis on GUM-compliant neural network robustness verification and provides an implementation using PySCIPOpt.
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This code base is intended to serve as a starting point for interested researchers or practitioners to extend or apply the uncertainty propagation portion of the author's Master's thesis " GUM-compliant neural-network robustness verification".
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This codebase provides convenient access to the annotated data set of one electromechanical cylinder at ZeMA testbed.
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Automatic creation of a file system that makes the files of our CouchDB Git repository accessible, divided according to the commits.
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Erzeugen einer Dateistruktur, die als Repositorien für openSUSE- und Ubuntu-Pakete dient.
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Schema files and instance examples for a XML implementation the D-SI data model (D-SI = the Digital System of Units).
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Beispiele von Python-Code, der sich leicht wiederverwenden lässt
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