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RAPIDS Community Contrib

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Introduction <a name="intro"></a>

Welcome to the community contributed notebooks repo! (formerly known as Notebooks-Extended)

The purpose of this collection is to introduce RAPIDS to new users by providing useful jupyter notebooks as learning aides. This collection of notebooks are direct community contributions by the RAPIDS team, our Ecosystem Partners, and RAPIDS users like you!

What do you mean "Community Notebooks"

These notebooks are for the community. It means:

  1. YOU can contribute workflow examples, tips and tricks, or tutorials for others to use and share! We ask that you follow our Testing and PR process.
  2. If your notebook is awesome, your notebook can be featured

There are some additional Community Responsibilities, as the RAPIDS team isn't maintaining these notebooks

RAPIDS Showcase Notebooks

These notebooks are built by the RAPIDS team and will be maintained by them. When we remove the notebooks, it will become community maintained until it hits the_archive

RAPIDS Event Notebooks

These notebooks that we presented at conferences or meetups. While we strive to use open source or easily accessible data, some notebooks may require datasets that have restricted access. They also will be frozen in time and not maintained as RAPIDS progresses. Please download the appropriate RAPIDS version that these workflows were build on or expect to update them to the newer verisons. Your favorite notebooks from our previous events can now be found there as well!

How to Contribute <a name="contributing"></a>

Please see our guide for contributing to notebooks-contrib.

Once you've followed our guide, please don't forget to test your notebooks! before making a PR.

Exploring the Repo <a name="exploring"></a>

Folders

Great places to get started <a name="get_started"></a>

Topics

Click each topic to expand

<details> <summary>RAPIDS Libraries Basics</summary>

Teaching Notebooks and User Guides

Official Cheat Sheets

</details> <details> <summary>Deploying RAPIDS</summary> </details> <details> <summary>Multi GPU </summary>

Getting Started

Example Workflows

Dask Tricks

</details> <details> <summary>RAPIDS and Deep Learning </summary> </details> <details> <summary>Data Visualizations with RAPIDS </summary>

Offical RAPIDS Demos

Tutorials

</details> <details> <summary>Streaming Data </summary> </details> <details> <summary>NLP</summary> </details> <details> <summary>Graph Analytics </summary> </details> <details> <summary>GIS/Spatial Analytics </summary> </details> <details> <summary>Genomics </summary> </details> <details> <summary>Cybersecurity </summary> </details> <details> <summary>Past Competitions </summary> </details> <details> <summary>Benchmarks </summary> </details> <details> <summary>Random Tips and Tricks </summary> </details>

How-Tos with our Ecosystem Partners

<details> <summary>LearnRAPIDS</summary> </details> <details> <summary>Graphistry</summary> </details>

Additional Resources <a name="more"></a>

Beyond our Official RAPIDS Docs, please:

Additional Information