jayroxis / qresLinks
Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)
☆16Updated 4 years ago
Alternatives and similar repositories for qres
Users that are interested in qres are comparing it to the libraries listed below
Sorting:
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- The public repository about our joint FINN research project☆37Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated last year
- ☆39Updated 4 months ago
- ☆29Updated 2 years ago
- ☆42Updated 2 years ago
- ☆35Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆63Updated 2 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆15Updated 10 months ago
- ☆31Updated last week
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆34Updated 4 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆47Updated last year
- ☆17Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆20Updated last year
- ☆54Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆27Updated 8 months ago
- ☆10Updated 2 years ago
- ☆35Updated 4 years ago
- ☆48Updated last year
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 11 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 4 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year