stathius / wave_propagation
Predicting wave propagation on shallow water with deep neural networks
☆21Updated 11 months ago
Related projects: ⓘ
- The public repository about our joint FINN research project☆36Updated last year
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 4 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆13Updated 3 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆10Updated 2 weeks ago
- ☆31Updated last year
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆29Updated 2 years ago
- ☆33Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆42Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆22Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆16Updated 2 years ago
- ☆12Updated 4 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆18Updated 3 years ago
- ☆44Updated 10 months ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Try to approximate the solution of Fokker-Planck equation☆9Updated 11 months ago
- Physics-informed deep super-resolution of spatiotemporal data☆31Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆15Updated last year
- ☆22Updated this week
- ☆10Updated 10 months ago
- ☆18Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆12Updated 5 years ago
- Code for the FiniteNet ICML Paper☆15Updated 4 years ago
- source code of learning to discretize solving 1d scalar conservation laws via deep reinforcement learning☆16Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆33Updated 10 months ago
- ☆17Updated 2 years ago
- Turbulent flow network source code☆55Updated 9 months ago
- This is the implementation of the RecFNO.☆13Updated last year
- Deep learning framework for model reduction of dynamical systems☆21Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆39Updated last year
- ☆32Updated 3 years ago