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Customer device proxy

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

Repository to track everything related to my PhD thesis.

This codebase provides convenient access to the annotated data set of one electromechanical cylinder at ZeMA testbed.

DCC generation for the vacuum laboratory

A simple extension to deep ensembles for an improved uncertainty quantification

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