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Information and support files for dealing with proprietary binary files:
examples of how to communicate with vendors to convince them to open the data files help for reverse engineering of your own proprietary binary filesUpdated -
A simple extension to deep ensembles for an improved uncertainty quantification
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This project contains the implementation and examples of the publication MM/GW, CE, "A rejection Sampler extending GUM-S1", Metrologia, 2021 [TODO].
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Enwicklung Gehäuse für GUI-Testumgebung, welches HQ-Kameramodul, RPi4 und Display in einem integriert. Entwicklungsumgebung: OpenSCAD
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Layla Riemann / Repeatability_Reproducibility
Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalR code and xls files to generate the results for the restricted maximum likelihood (REML) analyis python code and npy files to generate Bland-Altman plots of the spectral shape spectral data of each volunteer, session and pulse sequence variantUpdated -
bake out control
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additional code for the publication
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MFM2 / Liquid-Level-Extraction-Unet
MIT LicenseIn this repository, a Deep-learning model is given, which was trained to extract the vertical position of the gas-liquid-interface over time (liquid level time series) from video recordings of horizontal gas-liquid pipe flow experiments.
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ludwig10_masters_thesis / GUM-compliant neural network robustness verification - a Masters thesis
European Union Public License 1.2Updated -
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Example plain HTML site using GitLab Pages: https://pages.gitlab.io/plain-html
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