Reproducible machine learning pipelines using mlflow.
Project description
mlf-core
Reproducible machine learning pipelines using mlflow.
Free software: Apache2.0
Documentation: https://mlf-core.readthedocs.io.
Features
Jumpstart your machine learning project with a fully fledged mlflow project template
mlflow templates are fully GPU deterministic with system-intelligence
Conda and Docker support out of the box
Pytorch, Tensorflow, XGBoost supported
Credits
Primary idea and main development by Lukas Heumos. This package was created with cookietemple based on a modified audreyr/cookiecutter-pypackage project template using Cookiecutter.
Changelog
This project adheres to Semantic Versioning.
1.0.1 (2020-08-11)
Added
Fixed
Sync workflow now uses the correct secret
Dependencies
Deprecated
1.0.0 (2020-08-11)
Added
Created the project using cookietemple
Added all major commands: create, list, info, lint, sync, bump-version, config, upgrade
Added mlflow-pytorch, mlflow-tensorflow, mlflow-xgboost, mlflow-xgboost_dask templates
Fixed
Dependencies
Deprecated
Release history Release notifications | RSS feed
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