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Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Home Page: https://cloud.google.com/vertex-ai

License: Apache License 2.0

Python 2.04% Dockerfile 0.28% Shell 0.04% Jupyter Notebook 97.64%

vertex-ai-samples's Introduction

Google Cloud Google Cloud Vertex AI Samples

This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Overview

Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. This repository is designed to help you get started with Vertex AI. Whether you're new to Vertex AI or an experienced ML practitioner, you'll find valuable resources here.

For more Vertex AI Generative AI notebook samples, please visit the Vertex AI Generative AI GitHub repository.

Explore, learn and contribute

You can explore, learn, and contribute to this repository to unleash the full potential of machine learning on Vertex AI!

Explore and learn

Explore this repository, follow the links in the header section of each of the notebooks to -

Colab Open and run the notebook in Colab
Colab Enterprise Open and run the notebook in Colab Enterprise
Workbench Open and run the notebook in Vertex AI Workbench
Github View the notebook on Github

Contribute

See the Contributing Guide.

Get started

To get started using Vertex AI, you must have a Google Cloud project.

Repository structure

├── notebooks
│   ├── official - Notebooks demonstrating use of each Vertex AI service
│   │   ├── automl
│   │   ├── custom
│   │   ├── ...
│   ├── community - Notebooks contributed by the community
│   │   ├── model_garden
│   │   ├── ...
├── community-content - Sample code and tutorials contributed by the community

Examples

Description Contents
automl/ Train and make predictions on AutoML models Sample notebooks
custom/ Create, deploy and serve custom models on Vertex AI Sample notebooks
prediction/ Build, train and deploy models using prebuilt containers for custom training and prediction. Sample notebooks
Feature Store/ Set up and manage online serving using Vertex AI Feature Store. Sample notebooks
Explainable AI/ Use Vertex Explainable AI's feature-based and example-based explanations to explain how or why a model produced a specific prediction. Sample notebooks
Pipelines/ Use `Vertex AI Pipelines` and `Google Cloud Pipeline Components` to build, tune, or deploy a custom model. Sample notebooks

Get help

Please use the Issues page to provide feedback or submit a bug report.

Disclaimer

This is not an officially supported Google product. The code in this repository is for demonstrative purposes only.

References

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