elizqian / operator-inference
☆10Updated last year
Alternatives and similar repositories for operator-inference:
Users that are interested in operator-inference are comparing it to the libraries listed below
- ☆15Updated 7 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Neural Galerkin☆15Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 3 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆13Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- ☆13Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- ☆23Updated 8 months ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- ☆39Updated 2 years ago
- ☆12Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- ☆14Updated 3 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆25Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems☆10Updated 7 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 9 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆20Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆64Updated 11 months ago
- DeepONet extrapolation☆26Updated last year
- Multifidelity DeepONet☆29Updated last year
- ☆21Updated 4 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆17Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆27Updated 5 months ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆12Updated 10 months ago