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For the most current listing of NREL-developed open-source software, see U.S. Department of Energy Office of Scientific and Technical Information's DOE CODE database.

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diversity_SR: Diverse Super-Resolution

Apr 20, 2021, 18:00 PM

This deep learning tool for enhancing the spatial resolution of wind data is developed in Python using the TensorFlow deep learning package. Models for diversity super-resolution are provided. Included in the package are pretrained models with example code/data to perform the super-resolution as well as training models for different enhancement or data types.

Title : diversity_SR: Diverse Super-Resolution

Url : https://github.com/NREL/diversity_SR

Software Id : 55916

Categories :

Computational Science
Python
Software Categories