Deterministic machine learning project templates based on MLflow.
Highly customizable, ready-to-use templates for project setup in seconds.
A community to build standardized and deterministic machine learning models.
Standardize your workflow, group experiments, track parameters and metrics and benefit from fully reproducible results.
mlf-core provides deterministic and standardized templates for several machine learning frameworks.
mlf-core templates will be configurable (work in progress) fitting them exactly your needs.
Extensive documentation covering installation, usage and each template in detail, ensures that you will not be left in the dark.
All templates come with ready-to-use GitHub Workflows per default.
Every released template is designed, tested and approved by the community.
mlf-core thrives on active development by the open-source community to further improve mlf-core.
# Install mlf-core pip install mlf-core # Get an overview of all commands mlf-core --help # Check out all available templates mlf-core list # Get started and create your first project mlf-core create
Check out the available templates to see if we have what you need. If not you can always suggest or contribute a new template.
Available templatesCheck out our public channels and join them to get help and see whats going on over there.
If you are interested in contributing to mlf-core, take a look at the developer documentation to see what's required.
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