KoopmanLab
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A library for Koopman Neural Operator with Pytorch.
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...
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.
It seems that this network only works for the 2D or 1D images. If I want to solve a chemical ODE, does it work?
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...
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...
Hello, I played around with the parameters in [the demo code](https://github.com/Koopman-Laboratory/KoopmanLab/blob/main/demo_ns.py) and got a RuntimeError. When uploading the dataset and building the network, I changed `t_in` and `t_out`: `train_loader, test_loader...
Hi, thanks a lot for your wonderful work. I found that inside koopmanlab/models/koopmanViT.py there is a module call parameter error in line 215, 221, embed_dim should not be used as...
Hello, I downloaded the data of the Burgers equation you provided and inserted it into your demo program to run it, but an error message appeared: **These are the information...