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Slides from the talk about Data Analysis Using Modern Python
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For Fourier transforming BW images and working with them
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We implemented a Bayesian Uncertainty Quantification for Magnetic Resonance Fingerprinting.
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Matlab Code for vGRAPPA decomposition after multibanded 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 
R code and xls files to generate the results for the restricted maximum likelihood (REML) analyis python code and npy files to generate BlandAltman plots of the spectral shape spectral data of each volunteer, session and pulse sequence variantUpdated

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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additional code for the publication
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In this repository, a Deeplearning model is given, which was trained to extract the vertical position of the gasliquidinterface over time (liquid level time series) from video recordings of horizontal gasliquid pipe flow experiments.
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A simple extension to deep ensembles for an improved uncertainty quantification
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