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Library for operational IceNet forecasting

Project description

icenet

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This is the core python library for the IceNet sea-ice forecasting system.

This README will be worked on more, but there's plenty of information around in the icenet-ai organisations repositories, which demonstrate usage of this library.

Table of contents

Installation

We're still working on clear dependency management using pip, Tensorflow is best through pip but obviously you need NVIDIA dependencies for GPU based training. If you're having trouble with system dependencies some advice about environment setup is given by the examples under the pipeline repository.

pip install icenet

Development installation

Please refer to the contribution guidelines for more information.

Implementation

When installed, the library will provide a series of CLI commands. Please use the --help switch for more initial information, or the documentation.

Documentation

The docs/ directory has a Makefile that builds sphinx docs easily enough, once the requirements in that directory are installed.

Usage Pipeline / Examples

Please refer to the icenet-pipeline repository or the icenet-notebook repository for examples of how to use this library.

Contributing to IceNet

Please refer to the contribution guidelines for more information.

Credits

License

This is licensed using the MIT License


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