Software Open Access
Exploration of DVC (Data Version Control)
Sultova, Neda
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{
"name": "Exploration of DVC (Data Version Control)",
"@type": "SoftwareSourceCode",
"identifier": "https://doi.org/10.14278/rodare.992",
"datePublished": "2021-05-25",
"license": "https://creativecommons.org/licenses/by/4.0/legalcode",
"keywords": [
"machine learning version control pipelines"
],
"@context": "https://schema.org/",
"@id": "https://doi.org/10.14278/rodare.992",
"description": "<p>The repository contains tutorials and code which were created based on the exploration of DVC (Data Version Control) as a potential tool for managing machine learning pipelines within HZDR.<br>\nThe tutorials aim to help understanding the tools features and drawbacks and also serve as future teaching material.</p>",
"creator": [
{
"@type": "Person",
"name": "Sultova, Neda",
"affiliation": "HelmholtzAI Consultant"
}
],
"sameAs": [
"https://www.hzdr.de/publications/Publ-32662"
],
"url": "https://rodare.hzdr.de/record/992"
}
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| All versions | This version | |
|---|---|---|
| Views | 343 | 343 |
| Downloads | 8 | 8 |
| Data volume | 110.2 kB | 110.2 kB |
| Unique views | 266 | 266 |
| Unique downloads | 7 | 7 |
- Publication date:
- May 25, 2021
- DOI:
-
- Keyword(s):
- machine learning version control pipelines
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-32662 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International