CraigGin / PDEKoopman2Links
Update PDEKoopman code to Tensorflow 2
☆23Updated 4 years ago
Alternatives and similar repositories for PDEKoopman2
Users that are interested in PDEKoopman2 are comparing it to the libraries listed below
Sorting:
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated last month
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- ☆27Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 years ago
- ☆25Updated 7 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- ☆21Updated 4 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 4 months ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Spectral Methods in Python☆57Updated 3 months ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- A Python library for training neural ODEs.☆25Updated 6 months ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆14Updated 3 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆48Updated 8 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- ☆116Updated 6 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- ☆42Updated 2 years ago
- ☆42Updated 5 years ago
- ☆18Updated 4 years ago