xiaoyuxie-vico / Awesome-ML-PDELinks
Resources about Machine Learning for solving PDEs.
☆58Updated 2 years ago
Alternatives and similar repositories for Awesome-ML-PDE
Users that are interested in Awesome-ML-PDE are comparing it to the libraries listed below
Sorting:
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Turbulent flow network source code☆70Updated 5 months ago
- Encoding physics to learn reaction-diffusion processes☆102Updated 2 years ago
- ☆112Updated 6 months ago
- Competitive Physics Informed Networks☆31Updated 11 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆206Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆97Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Applications of PINOs☆132Updated 2 years ago
- ☆54Updated 2 years ago
- ☆50Updated 8 months ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆208Updated 2 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- ☆172Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 7 months ago
- ☆99Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- Modified Meshgraphnets with more features☆54Updated 6 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆151Updated 4 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆138Updated 3 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 10 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year