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GANO

This package provide implementation codes developed in the experimental study presented in

Generative Adversarial Neural Operators.

https://arxiv.org/abs/2205.03017 https://openreview.net/pdf?id=X1VzbBU6xZ Appeared at Transaction of Machine Learning Research (TMLR), 2022. by Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli

Please find the Interferometric Synthetic Aperture Radar (InSAR) data set in the following, https://drive.google.com/file/d/1WgEOpawpyV_1lf80zpkz47VNtVqHR3ZK/view?usp=sharing

Please also find U-NO code and colab here,

Code: https://github.com/ashiq24/UNO or Code: https://github.com/neuraloperator/neuraloperator/blob/main/neuralop/models/uno.py

Colab: https://colab.research.google.com/drive/1f1WYsjAgIjJRFtfQYYnZCZsxl602MMPX?usp=sharing

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