amitvkulkarni / Versioning-ML-Models-datasets-With-DVCView external linksLinks
Data Version Control, or DVC, is a data and ML experiment management tool that takes advantage of the existing engineering toolset that we are familiar with (Git, CI/CD, etc.). DVC is meant to be run alongside Git. The git and dvc commands will often be used in tandem, one after the other. While Git is used to storing and version code, DVC does …
☆10Jun 23, 2021Updated 4 years ago
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