niallmm / SINDy_AIC
combination of sparse identification of nonlinear dynamics with Akaike information criteria
☆16Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for SINDy_AIC
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆22Updated 6 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆43Updated 7 years ago
- ☆12Updated 2 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆23Updated last year
- ☆21Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆37Updated 6 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆17Updated 6 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆52Updated 2 years ago
- ☆41Updated 6 years ago
- ☆24Updated 6 years ago
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆14Updated 2 months ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆24Updated 2 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆36Updated 2 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆54Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆66Updated 4 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆17Updated 5 years ago
- ☆25Updated 6 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆60Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆67Updated this week
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆29Updated 3 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆14Updated last year
- SINDy-SA Framework: Enhancing nonlinear system identification with sensitivity analysis☆11Updated 2 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆29Updated 8 months ago
- ☆27Updated 4 years ago
- Dynamic Mode Decomposition☆57Updated 7 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 3 years ago