Sample codes for observable-augmented autoencoder by Fukami and Taira (Nature Communications, 2023)
Kai Fukami and Kunihiko Taira, ``Grasping extreme aerodynamics on a low-dimensional manifold," Nature Communications, 14, 6480, preprint: arXiv:2305.08024, 2023
Author: Kai Fukami (UCLA)
This repository contains
Observable-AE.py
Authors provide no guarantees for this code. Use as-is and for academic research use only; no commercial use allowed without permission. The code is written for educational clarity and not for speed.
- Python 3.x
- keras
- tensorflow
- sklearn
- numpy
- pandas