helmnet
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Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation
Explore exporting the pre-trained model using the [Open Neural Network Exchange (ONNX) format](https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html). This could then be imported into, e.g., MATLAB so the model can be directly run. One possible...
A 3D version of the helmnet should be considered. This would require the following: - Extending the unet to 3D (`Conv3D`, `MaxPool3D`, etc) - Extend the training data to 3D...
The network was initially trained assuming constant density and no absorption. Initial tests show that the network may also generalise (even without re-training) to more general cases. This requires updating...
…Luc Giraud(Inria) and Paul Mycek(Cerfacs)'s suggestion
Need a test that checks that the weights can load after training (see #21 )
* **I'm submitting a ...** - [ ] bug report - [x] feature request - [ ] other (e.g. discussion of ideas) * **What is the current behavior?** We don't...
According to [this repository for Fourier Neural Operators](https://github.com/zongyi-li/fourier_neural_operator), they've made their code 30% faster by switching to native complex representation in PyTorch, which wasn't available when this work was published....