This repository contains the implementation code for the paper "Neural Operator Induced Gaussian Process for Probabilistic Solution of Parametric Partial Differential Equations" here.
The repository is organized as follows:
data: Contains the datasets.experiments: Each sub-directory contains the specific code for various case studiesgeneral: Utils and additional resources.requirement.txt: additional packages required.
Before running the code, ensure you have the following installed:
- Python 3.8+
- PyTorch 1.7+
- Additional dependencies listed in
requirements.txt
Clone the repository and install the required Python packages:
git clone https://github.com/csccm-iitd/NOGaP.git
cd your-repository-name
pip install -r requirements.txt- The training and testing datasets for the different case studies are available in the following link:
Dataset \
If you use any part of our codes, please cite us at,
@article{kumar2024neural,
title={Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations},
author={Kumar, Sawan and Nayek, Rajdip and Chakraborty, Souvik},
journal={arXiv preprint arXiv:2404.15618},
year={2024}
}