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Analyzing the use and reproducibility of Jupyter Notebooks using ReproduceMeGit
Contributions to Open Science for Reproducible Research
de-RSE: Forking an RSE success story
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles
ProvBook: Capturing and Visualizing Provenance in Jupyter Notebooks for Reproducibility
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks
What are main search interests in biodiversity research?
de-RSE: Forking an RSE success story
Title: | de-RSE: Forking an RSE success story |
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Presenter(s): | |
Event: | Supercomputing 2020 |
Date: | 2020-11-12 10:15 |
Slides: | 2020.11.12_1015_wksp143_Workshop_Löffler_Frank |