How to Set Up Continuous Integration for Machine Learning
How to Set Up Continuous Integration for Machine Learning with Github Actions and Neptune: Step by Step Guide.
ci-cd deep-learning experiment-tracking code article mlops neptune github-actions tutorial

In this step-by-step guide you will learn about how to set up a CI pipeline for machine learning project that automates the following scenario.

Specifically, on every Pull Request from branch develop to master:

  • Run model training and log all the experiment information to Neptune for both branches
  • Create a comment that contains a table showing diffs in parameters, properties, and metrics, links to experiments and experiment comparison in Neptune.

Don't forget to tag @neptune-ai , @kamil-kaczmarek , @jakubczakon in your comment, otherwise they may not be notified.

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The most lightweight experiment management tool
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