https://github.com/axect/deeponet_from_scratch

Tutorial for DeepONet
https://github.com/axect/deeponet_from_scratch

Last synced: 3 months ago
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Tutorial for DeepONet

Host: GitHub
URL: https://github.com/axect/deeponet_from_scratch
Owner: Axect
Created: 2024-03-21T02:11:25.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2024-05-14T01:08:43.000Z (about 1 year ago)
Last Synced: 2025-03-19T22:17:24.949Z (3 months ago)
Language: Jupyter Notebook
Size: 28.4 MB
Stars: 3
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # DeepONet from Scratch

## Data

- Gaussian Random Field (GRF) for compact domain & compact range.

- GRFs are generated by [`rugfield`](https://github.com/Axect/Rugfield)

- For integral, the label for data is generated by integral of Cubic Hermite Splines.

![GRFs](./figs/grf_scaled.png)

![GRF_Integrals](./figs/grf_integral.png)