shaoanlu / COVID-19-SINDYLinks
Use SINDY algorithm to discover a dynamical system from coronavirus data
☆13Updated last year
Alternatives and similar repositories for COVID-19-SINDY
Users that are interested in COVID-19-SINDY are comparing it to the libraries listed below
Sorting:
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆12Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- ☆14Updated last year
- ☆16Updated 10 months 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
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 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
- ☆21Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- ☆29Updated 7 years ago
- ☆11Updated 4 years ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- ☆21Updated 2 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- ☆11Updated 4 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 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
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations☆10Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- ☆10Updated 3 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated last year
- ☆29Updated 2 years ago
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems☆10Updated 11 months ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- ☆10Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- PINN paper that will be submitted to Journal of Computational Science☆11Updated 11 months ago