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A simple extension to deep ensembles for an improved uncertainty quantification
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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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Example plain HTML site using GitLab Pages: https://pages.gitlab.io/plain-html
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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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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 -
additional code for the publication
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Layla Riemann / vGRAPPA MATLAB code
Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalMatlab Code for vGRAPPA decomposition after multi-banded two voxel acquisition for MRS.
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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 -
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We implemented a Bayesian Uncertainty Quantification for Magnetic Resonance Fingerprinting.
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M4D / xwiki-skin-barrierefrei
MIT LicenseDieses Repository enthält die Dateien, welche für ein barrierefreies XWiki Skin benötigt werden. Alle Details finden sich hier im Wiki.
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Robin Stampa / SingleImageFourierTransform
GNU General Public License v3.0 onlyFor Fourier transforming BW images and working with them
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