vertex-ai-mlops and automlops

vertex-ai-mlops
73
Verified
automlops
56
Established
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 683
Forks: 307
Downloads:
Commits (30d): 71
Language: Jupyter Notebook
License: Apache-2.0
Stars: 258
Forks: 44
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About vertex-ai-mlops

statmike/vertex-ai-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

This project helps data scientists and machine learning engineers create, deploy, and manage machine learning models effectively on Google Cloud's Vertex AI platform. It provides end-to-end workflows, taking raw data through model training and deployment to ongoing management. The goal is to streamline the entire lifecycle of machine learning models for practitioners.

Machine Learning Operations ML model deployment AI workflow automation Generative AI operations Predictive analytics infrastructure

About automlops

GoogleCloudPlatform/automlops

Build MLOps Pipelines in Minutes

This tool helps data science teams and MLOps engineers quickly set up and manage continuous integration/continuous delivery (CI/CD) pipelines for machine learning models. You provide your machine learning model code, and it generates the complete infrastructure and automation needed to deploy, monitor, and retrain your models. This means you can get your experimental models into production faster and with less manual effort.

Machine Learning Operations Model Deployment CI/CD for ML Data Science Workflow Cloud Infrastructure Automation

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