dynamicslab / modified-SINDyLinks
Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
☆56Updated 3 years ago
Alternatives and similar repositories for modified-SINDy
Users that are interested in modified-SINDy are comparing it to the libraries listed below
Sorting:
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- ☆21Updated 4 years ago
- Data-driven dynamical systems toolbox.☆74Updated 2 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆149Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- ☆29Updated 2 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- ☆41Updated 7 years ago
- ☆28Updated 7 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆151Updated last year
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated this week
- Stochastic Optimization under Uncertainty in Python.☆36Updated last month
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 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
- Data-driven reduced order modeling for nonlinear dynamical systems☆84Updated last month
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆53Updated 2 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated last year
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆49Updated 10 months ago
- PySensors is a Python package for sparse sensor placement☆92Updated last week
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆41Updated 5 years ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- Methods for numerical differentiation of noisy data in python☆120Updated last week
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆43Updated 2 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 6 months ago