🔔 Please visit vertex-ai-samples for sample code for Vertex AI.

Vertex AI is our next generation AI Platform, with many new features that are unavailable in the current platform. Migrate your resources to Vertex AI to get the latest machine learning features, simplify end-to-end journeys, and productionize models with MLOps.

Google Cloud AI Platform Products

Welcome to the AI Platform sample code repository. This repository contains samples for how to use AI Platform products.

Overview

The repository is organized by products:

• AI Platform Training
  • Horovod
  • PyTorch
  • scikit-learn
  • TensorFlow
  • XGBoost
• AI Platform Prediction
  • scikit-learn
  • TensorFlow
  • XGBoost
  • Tools AI Platform Prediction tools
• AI Platform Optimizer
• AI Platform Pipelines
• AI Platform Notebooks
  • Samples
    • AI Hub
    • AI Platform Optimizer
    • AI Platform Pipelines
    • PyTorch
    • TensorFlow
  • Templates Templates used to contribute to AI Platform samples
  • Tools AI Platform Notebooks tools
• AI Hub

Getting Started

We highly recommend that you start with our Quick Start Sample.

Navigating this Repository

This repository is organized based on the available products on AI Platform, and the typical Machine Learning problems that developers are trying to solve. For instance, if you are trying to train a model with scikit-learn, you will find the sample under training/sklearn/structured/base directory. AI Platform also supports xgboost, TensorFlow, and PyTorch.

Please refer to the README.md file in each sample directory for more specific instructions.

Google Machine Learning Repositories

If you’re looking for our guides on how to do Machine Learning on Google Cloud Platform (GCP) using other services, please checkout our other repositories:

• ML on GCP, which has guides on how to bring your code from various ML frameworks to Google Cloud Platform using things like Google Compute Engine or Kubernetes.
• Keras Idiomatic Programmer This repository contains content produced by Google Cloud AI Developer Relations for machine learning and artificial intelligence. The content covers a wide spectrum from educational, training, and research, covering from novices, junior/intermediate to advanced.
• Professional Services, common solutions and tools developed by Google Cloud's Professional Services team.

Contributing a notebook

Only Googlers may contribute to this repo. If you are a Googler, please see go/cloudai-notebook-workflow for instructions.

Troubleshooting

For common issues and solutions, please check our troubleshooting page.

Getting 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.

The content in the AI-Platform-Samples repository is not officially maintained by Google.