weipengOO98 / PDPINN
☆14Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for PDPINN
- POD-PINN code and manuscript☆46Updated last week
- ☆61Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆45Updated 4 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆27Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆18Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆16Updated 11 months ago
- ☆35Updated last year
- Multifidelity DeepONet☆27Updated last year
- ☆19Updated 2 years ago
- ☆39Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆66Updated 4 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆14Updated last year
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆20Updated last year
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Updated 6 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆58Updated 7 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 3 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆54Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆42Updated 3 years ago
- ☆52Updated 2 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 3 years ago
- Implementation of fast PINN optimization with RBA weights☆42Updated last month
- ☆17Updated 4 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆35Updated 5 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆28Updated 2 years ago
- Physics-informed radial basis network☆26Updated 6 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆22Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year