PyEarthTools: Machine learning for Earth system science
Rattachement africain : au, nz, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
PyEarthTools: is a Python framework that supports the develoment of machine learning models, big and small, for Earth system science is suitable for students and newcomers, as well as for domain specialists and scientists runs effectively on HPC (supercomputers), cloud, workstations and laptops is suitable for use with megabytes to petabytes of data Source Code: github.com/ACCESS-Community-Hub/PyEarthTools Documentation: pyearthtools.readthedocs.io Tutorial Gallery: available here New Users Guide: available here If you use PyEarthTools for your work or a publication, please cite our work. Release Notes for Version 0.6.1: Minor patch release tag supporting a minor fix to reshape.py plus recent refactoring changes. Additional testing is still under way but this version clearly designates the testing target.
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