This repository contains a collection of tutorials and examples for various topics in Scientific Machine Learning. Each folder contains a specific module with its own set of examples and documentation.
| Module | Description |
|---|---|
| DeepONet | Tutorials on Deep Operator Networks (DeepONets). |
| Examples | Various examples of SciML applications. |
| FD | Tutorials on Finite Differences. |
| FoundationModels | Examples of foundation models like Aurora and Poseidon. |
| PINNs | Tutorials on Physics-Informed Neural Networks (PINNs). |
| SNO | Tutorials on Spectral Neural Operators (SNOs). |
| References | Collection of relevant academic papers and reading materials. |
To get started, simply clone this repository and navigate to the module you are interested in. Each module has its own README.md file with detailed instructions.
git clone https://github.com/rnpratoori/SciML-TrAC.git
cd SciML-TrACContributions are welcome! If you have a new tutorial or example that you would like to add, please open a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.