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You can automate the process of building, testing, delivering, or deploying your Machine Learning models into production using GitHub Actions

Home Page: https://towardsdatascience.com/github-actions-makes-one-click-to-deploy-feasible-for-ml-ci-cd-pipeline-61470ed3edbc

Dockerfile 8.49% Python 55.49% HTML 36.03%

ml-cicd-githubactions's Introduction

GitHub Actions — Makes "One Click To Deploy" Feasible For ML CI/CD Pipeline

Status of the worflow: Pipeline

What if I told you “You can automate the process of building, testing, delivering, or deploying your Machine Learning models into production”?

The world’s most popular hosted repository service, GitHub is providing an integrated way to design and develop our workflows by automating the tasks through GitHub Actions. With Actions, the events that take place in our GitHub repository like pushes, pull requests, releases, etc. are used as triggers to kick-off the workflows.

Check out our article for complete information on how to setup your workflows using GitHub Actions


ml-cicd-githubactions's People

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