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A library for Koopman Neural Operator with Pytorch.

License: GNU General Public License v3.0

Python 100.00%
deep-learning koopman neural-network neural-operator pytorch scientific-machine-learning

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koopmanlab's Issues

Koopman-Vit testing

Congratulations on your impressive work! I am eager to learn more about testing the Koopman-vit operator like KNO. Would it be possible for you to provide a demo similar to demo_ns.py, or suggest some other ideas for how to test it effectively? Many thanks.

Time marching twice for the Koopman_Operator2D

Great work! Congratulation!

I just curious why the self.time_marching() method is called twice for both the high-frequency and low-frequency Fourier features, in the "kno.py" line 148 and line 149, did I miss something?

out_ft[:, :, :self.modes_x, :self.modes_y] = self.time_marching(x_ft[:, :, :self.modes_x, :self.modes_y], self.koopman_matrix)
out_ft[:, :, -self.modes_x:, :self.modes_y] = self.time_marching(x_ft[:, :, -self.modes_x:, :self.modes_y], self.koopman_matrix)

Thank you!

Can I solve for the ODE？

It seems that this network only works for the 2D or 1D images. If I want to solve a chemical ODE, does it work?

Identify controlled ode system

Awesome work! And I just wonder if KNO can be used to identify controlled ODE that represents the kinematical equation of mobile robot, like unicycle model? Whether you will try to do this?

how to use it

awesome working！I am trying to use it.But i wonder weather it can solve ODE questions and can you give the data of your demo.thanks a lot.

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