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# PyEarthTools: Reproducible science pipelines for machine learning
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[![Coverage Status](https://coveralls.io/repos/github/ACCESS-Community-Hub/PyEarthTools/badge.svg)](https://coveralls.io/github/ACCESS-Community-Hub/PyEarthTools)
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[![Coverage Status](https://coveralls.io/repos/github/ACCESS-Community-Hub/PyEarthTools/badge.svg)](https://coveralls.io/github/ACCESS-Community-Hub/PyEarthTools) <-- we are going for 100% but being transparent about it
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PyEarthTools is a Python framework, containing modules for loading data; pre-processing, normalising and standardising data; defining machine learning (ML) models; training ML models; performing inference with ML models; and evaluating ML models. It contains specialised support for weather and climate data sources and models. It has an emphasis on reproducibility, shareable pipelines, and human-readable low-code pipeline definition.
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