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readme: intro updates (VSCE)
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Ruslan Kuprieiev
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`Website <https://dvc.org>`_
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• `Docs <https://dvc.org/doc>`_
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• `VS Code Extension <https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_
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• `Blog <http://blog.dataversioncontrol.com>`_
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• `Twitter <https://twitter.com/DVCorg>`_
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• `Chat (Community & Support) <https://dvc.org/chat>`_
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• `Tutorial <https://dvc.org/doc/get-started>`_
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• `Mailing List <https://sweedom.us10.list-manage.com/subscribe/post?u=a08bf93caae4063c4e6a351f6&id=24c0ecc49a>`_
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• `VS Code Extension <https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_
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|CI| |Maintainability| |Coverage| |VS Code| |DOI|
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@@ -15,8 +15,10 @@
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**Data Version Control** or **DVC** helps you develop reproducible machine
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learning projects:
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**Data Version Control** or **DVC** is a command line tool and
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`VS Code Extension
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<https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_ to help
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you develop reproducible machine learning projects:
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#. **Version** your data and models. Store them in your cloud storage but keep
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their version info in your Git repo.
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@@ -26,9 +28,7 @@ learning projects:
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#. **Track** experiments in your local Git repo (no servers needed).
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#. **Compare** any data, code, parameters, metrics, or plots from the command
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line or in `VS Code
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<https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_.
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#. **Compare** any data, code, parameters, modelhttps://www.youtube.com/watch?v=IYhVmD-_wRometrics, or performance plots
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#. **Share** experiments and automatically reproduce anyone's experiment.
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