SaschaHeyer / Google-Vertex-AI-CI-CD
☆10Updated 3 years ago
Alternatives and similar repositories for Google-Vertex-AI-CI-CD:
Users that are interested in Google-Vertex-AI-CI-CD are comparing it to the libraries listed below
- Demonstration of the Model Training as a CI/CD System in Vertex AI☆29Updated 3 years ago
- ☆2Updated 2 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- Experimental MLflow plugin for Google Cloud Vertex AI☆37Updated last year
- A Terraform module for scheduling Vertex Pipeline runs using Google Cloud Scheduler☆13Updated 2 years ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆50Updated 2 years ago
- This repository contains code samples for Vertex AI, including pipelines, metadata and more. Mainly with finance datasets.☆14Updated last year
- Templates for your Kedro projects.☆72Updated this week
- ☆12Updated 8 months ago
- Code examples for the Introduction to Kubeflow course☆14Updated 4 years ago
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 4 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆53Updated 6 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 2 months ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆35Updated 3 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆21Updated last week
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year
- Scaling Python Machine Learning☆45Updated last year
- Code labs for Vertex AI☆46Updated 3 years ago
- Code examples to demonstrate the use of mlflow tracking and serving instances☆13Updated last year
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆69Updated 2 weeks ago
- A Template for MLOps on Google Cloud Vertex AI☆13Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- End-to-end MLOps Credit Default Project using DABs☆17Updated 3 months ago
- Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line with…☆23Updated 7 months ago
- MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineering☆40Updated 4 months ago
- A simple and easy to use Data Quality (DQ) tool built with Python.☆49Updated last year
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systems☆10Updated last year
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆72Updated 3 months ago
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆80Updated 10 months ago