About The Project

This project aims to solve Partial Differential Equations using deep learning approach that gives approximate good results. Here's how:

• Used PyTorch to create neural network architectures to solve PDEs
• Converted the algorithm in paper to code form.

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Built With

• https://pytorch.org/

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Getting Started

Use Jupyter Notebook to get started.

Prerequisites

• Basic knowledge of PyTorch

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch
3. Commit your Changes
4. Push to the Branch
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

https://twitter.com/umaiskhannust Email - [email protected]

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