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Scikit Downscale ⭐ 160

Statistical climate downscaling in Python

Constrained Downscaling ⭐ 38

A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

Topopyscale ⭐ 26

TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale

Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data

Pptx Downsizer ⭐ 7

Python tool for downsizing Microsoft PowerPoint presentations (pptx) files.

Constrained Downscaling ⭐ 6

A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.

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