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Beispiel-Programm für die Kommunikation von Pythonprogrammen und dem eLabFTW der PTB

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".

This project contains the implementation and examples of the publication MM/GW, CE, "A rejection Sampler extending GUM-S1", Metrologia, 2021 [TODO].

The source code of the testbed implementation used in Gregor Hildermeier's work oin TESLA-protected one-way time synchronization

Ingredients for conversion of a DCC xml structure to a printable pdf file

This package accompanies my Master's thesis on GUM-compliant neural network robustness verification and provides an implementation using PySCIPOpt.