niallmm / SINDy_AICLinks
combination of sparse identification of nonlinear dynamics with Akaike information criteria
☆16Updated 8 years ago
Alternatives and similar repositories for SINDy_AIC
Users that are interested in SINDy_AIC are comparing it to the libraries listed below
Sorting:
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆11Updated 4 months ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆48Updated 8 years ago
- ☆25Updated 7 years ago
- ☆14Updated 3 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated 2 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆11Updated 2 months ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated 2 years ago
- ☆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…☆20Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆14Updated 3 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆158Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆17Updated last year
- Physics Informed Sparse Identification of Nonlinear Dynamics☆10Updated 8 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆23Updated 7 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆25Updated 7 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago