An integrated analysis platform for efficiently achieving computational reproducibility
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Updated
Nov 15, 2022 - Python
An integrated analysis platform for efficiently achieving computational reproducibility
Teaching computational reproducibility for neuroimaging
A structured guide to computational reproducibility reviews
Eindhoven University of Technology (TU/e) course "Improving Your Statistical Questions" by Daniël Lakens on Coursera (completed Dec 2022).
Dockerfile to build an image for use in the repliCATS pipeline
2019 Computational Reproducibility Workshop Series, led by Nelle Varoquaux
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