This repository contains PyTorch implementation of the submission: Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty.
enviroment setup: "conda create --name python36 --file requirements.txt" conda activate python36
It contains two demos cases: Demo/ODE.py and Demo/PDE.py, which coorespond to Lotka Volterra and Burgers'
To train the ODE demo, run the following command:
cd/Demo
python ODE.py
To train the PDE demo model on Lung dataset with GraphRNN/DAGG, run the following:
cd/Demo
python PDE.py