Contains my explorations of using Docker to automate ML workflows.
The directories contain scripts necessary in order build and run Docker images locally but they can be extended as needed. The directories are organized in increasing order of complexity.
Disclaimer The materials presented in this repository are just sort of my homeworks as I make progress toward learning the beautiful subject of MLOps.
I am following this course primarily in order to learn MLOps.
In order to run this demo one needs to have Docker set up. Follow this documentation to set it up. Demo-wise instructions are available in the respective directories.