niallmm / SINDy_AICLinks
combination of sparse identification of nonlinear dynamics with Akaike information criteria
☆16Updated 7 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:
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated last year
- ☆14Updated 3 years ago
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆11Updated 3 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated 2 weeks ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆48Updated 8 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- ☆21Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆25Updated 7 years ago
- ☆11Updated 2 weeks ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆153Updated last year
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆14Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆84Updated last month
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated last month
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆10Updated 6 months ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 4 years ago
- ☆37Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- ☆10Updated 2 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆24Updated 6 months ago