shaoanlu / COVID-19-SINDY
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
- ☆21Updated 4 years ago
- ☆14Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆11Updated 3 years ago
- Reaction diffusion system prediction based on convolutional neural network☆16Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 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
- ☆16Updated 9 months ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- ☆29Updated 6 years ago
- Deep learning framework for model reduction of dynamical systems☆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…☆19Updated 4 years ago
- PINN paper that will be submitted to Journal of Computational Science☆11Updated 9 months ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 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
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Updated 5 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated 6 months ago
- ☆11Updated 4 years ago
- ☆11Updated 3 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- ☆10Updated last year
- ☆21Updated 2 years ago
- ☆25Updated 2 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- ☆14Updated 3 years ago
- ☆29Updated 2 years ago
- Physics-informed neural networks (PINNs)☆12Updated 2 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago