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automl-image-pipeline

Using the flowers dataset and Vertex SDK

container-serving-ai-platform

Shows how to build a python container and serve it on AI-Platform

emoticons-keyboard

A custom keyboard for emoticons for android chatting application

fillingvialaimation

This project is an example of using a custom view to draw. The custom view is configurable using style.

finalproject

firebase-function-face-crop

a Nodejs Firebase function script that listens on a bucket. When an image is uploaded to a bucket the function is triggered. The function makes a vision API call

git-action-to-gcp-pubsub

This repo means to help setup flows starting from a git action all the way to a pipeline trigger in a GCP project. A pipeline can encapsulate any flow from training to full CI/CD/CT.

kubeflow-v1-basic-example

How to build a skeleton for an end to end production pipeline

kubeflow-v2-batch-prediction

Simple pipeline which makes use of Vertex's batch predicition feature. This feature takes a model from the model registry and data from a bucket and computes the model results with high throughput.

kubeflow-v2-distributed-pytorch

A simple pipeline showcasing how to trigger vertex AI distributed training for Pytorch

kubeflow-v2-end-to-end

kubeflow-v2-passing-data

kubeflow-v2-train-and-use-experiments

This repo is an example of creating and using custom components together with pre-made components on GCP's Vertex Pipelines. It is an end to end flow starting from data extraction from BQ all the way to a deployed model.

shoppit

Udacity final project

speech-to-text-exmple

speech-to-text-mp3

Demo script for using the python client libraries to upload and and transcribe an MP3 file

thetimeb

vertex-prediction-custom-container

vertex-workbench-schedule-notebook

The purpose of this repo is to help you setup and run a notebook as a job in GCP's Vertex AI Training service.