stathius / wave_propagationLinks
Predicting wave propagation on shallow water with deep neural networks
☆22Updated last year
Alternatives and similar repositories for wave_propagation
Users that are interested in wave_propagation are comparing it to the libraries listed below
Sorting:
- The public repository about our joint FINN research project☆38Updated 2 years ago
- ☆15Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- ☆10Updated 2 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 6 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆16Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- ☆21Updated 2 years ago
- ☆38Updated 2 years ago
- a multiresolution convolutional autoencoder architecture☆22Updated 4 years ago
- ☆35Updated 2 years ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆25Updated 10 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Updated 5 years ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…☆53Updated 2 years ago
- Quantification of Uncertainties in Neural Networks☆11Updated 5 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- ☆22Updated last year
- Turbulent flow network source code☆70Updated 6 months ago
- ☆16Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- ☆22Updated 3 months ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆20Updated 4 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- ☆46Updated 6 months ago
- ☆12Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- Exploit Auto-encoder for exploring and predict flow dynamic☆10Updated 5 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last year