cianmscannell / pinnsLinks
Physics-informed neural networks
☆15Updated 4 years ago
Alternatives and similar repositories for pinns
Users that are interested in pinns are comparing it to the libraries listed below
Sorting:
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 11 months ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆12Updated 2 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last week
- Competitive Physics Informed Networks☆30Updated last year
- ☆42Updated last month
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- ☆33Updated 2 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆17Updated last year
- ☆12Updated last year
- Yet another PINN implementation☆20Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 3 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated 2 weeks ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆67Updated last year
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆36Updated last week
- Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta☆16Updated last year
- Physics-informed radial basis network☆32Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago
- ☆27Updated last year
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆22Updated 11 months ago