mathLab / ATHENALinks
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
☆52Updated last year
Alternatives and similar repositories for ATHENA
Users that are interested in ATHENA are comparing it to the libraries listed below
Sorting:
- Easy Reduced Basis method☆85Updated 3 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆79Updated last month
- A library of tools for computing variants of Dynamic Mode Decomposition☆47Updated 7 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated 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 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 2 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆31Updated 2 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆110Updated 3 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- 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
- A Python package for spectral proper orthogonal decomposition (SPOD).☆109Updated 6 months ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 4 months ago
- ☆34Updated last month
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Updated last year
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆24Updated 3 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆37Updated last year
- ☆48Updated 3 years ago
- ☆41Updated 5 years ago
- Modred main repository☆79Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- Multifidelity DeepONet☆33Updated last year
- Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist☆20Updated 3 months ago