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This package accompanies my Master's thesis on GUMcompliant neural network robustness verification and provides an implementation using PySCIPOpt.
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Ingredients for conversion of a DCC xml structure to a printable pdf file
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vaclab / json2couchdb
MIT LicenseUpdated 
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MetHyInfra / HydrogenRealGasModel
GNU General Public License v3.0 or laterUpdated 
The source code of the testbed implementation used in Gregor Hildermeier's work oin TESLAprotected oneway time synchronization
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This project contains the implementation and examples of the publication MM/GW, CE, "A rejection Sampler extending GUMS1", Metrologia, 2021 [TODO].
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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 " GUMcompliant neuralnetwork robustness verification".
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DigitalDynamicMeasurement / dsiUnits
GNU Lesser General Public License v2.1 onlyThis is a Python module for handling the SI units as objects in Python, parsing them from strings and converting them to Latex and Unicode, as well as performing math operations and calculating scale factors.
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DigitalDynamicMeasurement / DSI Parser Frontend
GNU Lesser General Public License v2.1 onlyUpdated 

DigitalDynamicMeasurement / dccXMLJSONConv
GNU Lesser General Public License v2.1 onlyUpdated