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readme: drop table of contents
readme: top-level links in comments
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committed by
David de la Iglesia Castro
parent
fa200c9b4c
commit
0b07354361
+19
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@@ -2,12 +2,14 @@
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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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• `How DVC works`_
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• `VS Code Extension`_
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• `Installation`_
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• `Related Technologies`_
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• `Contributing`_
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• `Community and Support`_
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|CI| |Maintainability| |Coverage| |VS Code| |DOI|
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@@ -15,7 +17,7 @@
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**Data Version Control** or **DVC** is a command line tool and `VS Code Extension <https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_ to help you develop reproducible machine learning projects:
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**Data Version Control** or **DVC** is a command line tool and `VS Code Extension`_ to help you develop reproducible machine learning projects:
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#. **Version** your data and models.
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Store them in your cloud storage but keep their version info in your Git repo.
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@@ -29,9 +31,6 @@
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#. **Share** experiments and automatically reproduce anyone's experiment.
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.. contents:: **Contents**
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:backlinks: none
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Quick start
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===========
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@@ -84,12 +83,14 @@ They specify all steps required to produce a model: input dependencies including
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Last but not least, `DVC Experiment Versioning <https://dvc.org/doc/start/experiments>`_ lets you prepare and run a large number of experiments.
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Their results can be filtered and compared based on hyperparameters and metrics, and visualized with multiple plots.
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.. _`VS Code Extension`:
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Visual Studio Code Extension
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============================
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|VS Code|
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To get use DVC as a GUI right from your VS Code IDE, install the `DVC Extension <https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_ from the Marketplace.
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To use DVC as a GUI right from your VS Code IDE, install the `DVC Extension <https://marketplace.visualstudio.com/items?itemName=Iterative.dvc>`_ from the Marketplace.
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It currently features experiment tracking and data management, and more features (data pipeline support, etc.) are coming soon!
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|VS Code Extension Overview|
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@@ -189,6 +190,8 @@ Fedora / CentOS (rpm)
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sudo yum update
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sudo yum install dvc
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.. _`Related Technologies`:
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Comparison to related technologies
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==================================
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@@ -229,13 +232,14 @@ Thanks to all our contributors!
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|Contribs|
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Mailing List
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============
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Community and Support
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=====================
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Want to stay up to date?
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Want to help improve DVC by participating in our occasional polls?
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Subscribe to our `mailing list <https://sweedom.us10.list-manage.com/subscribe/post?u=a08bf93caae4063c4e6a351f6&id=24c0ecc49a>`_.
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No spam, really low traffic.
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* `Twitter <https://twitter.com/DVCorg>`_
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* `Forum <https://discuss.dvc.org/>`_
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* `Discord Chat <https://dvc.org/chat>`_
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* `Email <mailto:[email protected]>`_
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* `Mailing List <https://sweedom.us10.list-manage.com/subscribe/post?u=a08bf93caae4063c4e6a351f6&id=24c0ecc49a>`_
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Copyright
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=========
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