This guide describes how to find assets on AI Hub. The collection of assets on AI Hub includes Kubeflow pipelines, Jupyter notebooks, TensorFlow modules, trained models, VM images, services, and technical guides.
- Go to AI Hub.
You can find assets on AI Hub by browsing or searching. The following examples demonstrate how to browse for notebooks and search for pipelines.
To browse for a notebook:
- In the left pane of the page, click Notebook under Category to filter the list of assets to display only notebooks.
- Filter the list of assets further until you find the notebook you need. For example, in the Labels box enter convolution and select convolutional filter from the list. The list of assets now displays notebooks that use convolution filters.
- Browse through the notebooks until you find the notebook you need, then click the name of the notebook. AI Hub displays a description of the notebook and information on how to use it.
To search for a pipeline:
- Enter a keyword or phrase into the search box at the top of the page, to filter the list of assets. For example, enter xgboost to see all assets that use the XGBoost framework.
- In the left pane of the page, click Category to see a list of asset categories and then click Kubeflow pipeline. The list of search results is filtered to display only pipelines.
- Filter the search results further until you find the pipeline you need, then click the name of the pipeline. AI Hub displays a description of the pipeline and information on how to use it.
Finding assets that have been shared with you
Assets on AI Hub are collected in two scopes, public assets that are shared with all AI Hub users and private assets that are shared only with specific users and groups, or an entire organization. To find assets that have been shared with you, click Private under Scope. The result set is now filtered to assets that have been shared with you.
- Understand important concepts and terms by reading the introduction to AI Hub.