teamdatatonic / terraform-google-scheduled-vertex-pipelinesLinks
A Terraform module for scheduling Vertex Pipeline runs using Google Cloud Scheduler
☆13Updated 2 years ago
Alternatives and similar repositories for terraform-google-scheduled-vertex-pipelines
Users that are interested in terraform-google-scheduled-vertex-pipelines are comparing it to the libraries listed below
Sorting:
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆71Updated 3 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 7 months ago
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated 3 weeks ago
- Demo on how to use Prefect with Docker☆27Updated 2 years ago
- Streamlit apps on Cloud Run with Identity-Aware Proxy (IAP).☆10Updated 3 years ago
- Code labs for Vertex AI☆46Updated 3 years ago
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Jupyter notebooks for learning and demonstrations☆15Updated 2 weeks ago
- A proof of concept library for generating and running machine learning model tests☆13Updated 4 years ago
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆34Updated 3 years ago
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…☆46Updated last year
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆15Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆148Updated last year
- Playground for using large language models into the Modern Data Stack for entity matching☆108Updated 2 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated last month
- Experimental MLflow plugin for Google Cloud Vertex AI☆38Updated 3 months ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 4 months ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- This repository contains code samples for Vertex AI, including pipelines, metadata and more. Mainly with finance datasets.☆14Updated 2 years ago
- Workshop about DVC VSCode Extension☆13Updated 11 months ago
- A comprehensive tool for linguistic analysis of communities☆49Updated 3 years ago
- ☆22Updated 2 years ago