neuraloperator / graph-pdeLinks
Using graph network to solve PDEs
☆398Updated 3 weeks ago
Alternatives and similar repositories for graph-pde
Users that are interested in graph-pde are comparing it to the libraries listed below
Sorting:
- ☆460Updated 2 months ago
- ☆349Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆262Updated 3 weeks ago
- DeepONet & FNO (with practical extensions)☆306Updated last year
- ☆263Updated 9 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆919Updated last month
- ☆212Updated 3 years ago
- Learning nonlinear operators via DeepONet☆660Updated 3 years ago
- ☆313Updated 2 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆425Updated last month
- Physics-Informed Neural networks for Advanced modeling☆515Updated last week
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆177Updated last month
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆339Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆325Updated 10 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆144Updated 2 months ago
- ☆166Updated last year
- ☆181Updated 2 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆631Updated last year
- A place to share problems solved with SciANN☆281Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆134Updated 9 months ago
- ☆200Updated 10 months ago
- ☆955Updated last week
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆151Updated 5 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year
- ☆143Updated 2 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 2 years ago