mendible / wave_decompositionLinks
☆17Updated 4 years ago
Alternatives and similar repositories for wave_decomposition
Users that are interested in wave_decomposition are comparing it to the libraries listed below
Sorting:
- ☆51Updated 2 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆48Updated 7 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 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
- 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
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14Updated last year
- Low-dimensional PCA-derived manifolds and everything in between!☆16Updated 9 months ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Algorithms for identifying coherent structures in sparse and noisy trajectory datasets☆15Updated 3 years ago
- A Python toolkit to calculate and visualize turbulence anisotropy and turbulent viscosity from Reynolds stress tensor data.☆20Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- ☆18Updated 4 years ago
- ☆38Updated last year
- ☆35Updated this week
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- A Python library for training neural ODEs.☆23Updated 4 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Dynamic Mode Decomposition☆59Updated 7 years ago
- Reduced-order modelling using an atlas of charts☆26Updated 2 years ago
- ☆24Updated 7 years ago
- Spectral methods in matlab☆11Updated 2 months ago
- Data and Code supporting the eBook by Castro and Vanderwel (2021)☆20Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 2 years ago
- ☆13Updated 3 years ago
- Educational materials to learn how to employ Bayesian optimization techniques for parameter estimation of computational and statistical m…☆14Updated last year