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api-mocker

automl_nl_export_splitter

Exports from AutoML can be of sizes >100MB. However Imports are limited to 100MB. This script allows you to read from a GCS location where you exported the AutoML data, and then split the files to a defined limit (default close to 100MB) . The 100MB files along with a CSV for importing will be stored at the defined export location

automlpdfentityannotation

AutoML NL Entity Annotation using Dictionary file

banksimanalysis

analysis of the banksim data

bqml-arima

Example on using BQML Arima forecasting

carlog

dataset-gen

script to generate fake datasets from a base dataset

edge-tpu-training

enron-email-nlp-cloud-function-trigger

genai-for-marketing

This repository provides a deployment guide showcasing the application of Google Cloud's generative AI for marketing scenarios. It offers detailed, step-by-step guidance for setting up and utilizing the generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content.

gitops-check

image-archive-search

Base of workshop was from https://github.com/GoogleCloudPlatform/serverless-photosharing-workshop

kfp_components

kubeflow-pipelines-mlops

Example of kubeflow pipelines MLOps on GCP

langchain

⚡ Building applications with LLMs through composability ⚡

marketing-data-engine

mlops-labs

speech-to-text-cloud-function-trigger

cloud function trigger to transcribe a file in a bucked

stable-diffusion-slides-plugin

titanic-predict-prob-custom-container

vertex-ai-feature-store

example using vertex SDK to manage the feature store

vertex-ai-feature-store-pipelines

Pipelines that you can use to operate feature store

vertex-ai-pipelines

vertex-ai-telco-churn

vertex-ai-titanic-custom-training

vertex-mlops-demo

example using synthetic mocked airline data

vertex-xgb-ml-ops

simple implementation of MLOps using an XGB example

website

Kubeflow's public website