MLRun has many code examples and tutorial Jupyter notebooks with embedded documentation, ranging from examples of basic tasks to full end-to-end use-case applications, including the following; note that some of the examples are found in other mlrun GitHub repositories:

Additional Examples

  • Deep-learning pipeline (full end-to-end application), including data collection and labeling, model training and serving, and implementation of an automated workflow — mlrun/demo-image-classification repo

  • Additional end-to-end use-case applications — mlrun/demos repo

  • MLRun functions Library — mlrun/functions repo

Back to top