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☆24Updated 4 years ago
- ☆14Updated 4 years ago
- ☆14Updated 4 years ago
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆12Updated 9 months ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- Reduced order modeling with shallow recurrent decoder networks☆19Updated 2 weeks ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆78Updated 2 weeks ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆27Updated 2 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆49Updated 8 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- ☆26Updated 7 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆42Updated last year
- ☆13Updated 2 weeks ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Updated 2 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…☆23Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆34Updated 3 years ago
- ☆21Updated 5 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Updated 2 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆15Updated last year
- Multi-fidelity reduced-order surrogate modeling☆31Updated 7 months ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Updated 4 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics