Shared Resources and Components

Hubs where you can find reusable components, shared Jupyter notebooks, and other ML resources

This page links to websites where you can find machine learning(ML) resources shared by various communities and organizations.

Check the provider of any resource that you use

Pipelines, components, and other resources contain executable code.Before downloading and using a resource, make sure that you trust the providerof the resource.

AI Hub

AI Hub is a platform for discovering anddeploying ML products.

AI Hub includes the following shared resources that you can use within yourKubeflow deployment:

• Pipelines and componentsthat you can use with Kubeflow Pipelines.
• Jupyter notebooks thatyou can upload to the notebooks server in your Kubeflow cluster.

Reusable components for Kubeflow Pipelines

A Kubeflow Pipelines component is a self-contained set of code that performsone step in the pipeline, such as data preprocessing, data transformation, modeltraining, and so on. Each component is packaged as a Docker image.You can add existing components to your pipeline. These may be components thatyou create yourself, or that someone else has created and made available.

The Kubeflow Pipelines repository on GitHub includes a number ofreusable componentsthat you can add to your pipeline.