Machine learning projects can suffer when it comes to the CI/CD area.
Even though GitHub Actions allow you to execute data workflows on various git events such as push or issue creation, the internal machines that GitHub provides for running these workflows have too little storage capacity for a standard ML project and the objects it operates.
So it can be difficult and time-consuming to run CI tests and deploy ML projects using pure GitHub actions.
How Neu.ro helps with CI/CD for ML
This can be fixed with Neu.ro Flow.
You can write GitHub Actions scripts that will install Neu.ro on the GitHub's internal machines and run all the necessary tests and deployment processes on the remote Neu.ro machines using Neu.ro Flow.
These scripts should be saved at the .github/workflows folder in your repository.
The script for running CI tests will look like this: