01317fda2a
* chore, fix, refactor: template fixes, replace K80 with T4, remove IS_TESTING, reword some sentences and headings * fix, refactor, feat, chore: replace K80 with T4, fix the TF version, template based fixes, remove local files in the clean up step * chore: addresses review comments --------- Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
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 -
Open and run the notebook in Colab
Open and run the notebook in Colab Enterprise
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.
- If you don't have a Google Cloud project, you can learn and build on GCP for free using Free Trail.
- Once you have a Google Cloud project, you can learn more about setting up a project and a development environment.
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
- Vertex AI Jupyter Notebook tutorials
- Vertex AI Generative AI GitHub repository
- Vertex AI documentaton