dynamicslab / SINDy-PI
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
☆137Updated 3 years ago
Alternatives and similar repositories for SINDy-PI:
Users that are interested in SINDy-PI are comparing it to the libraries listed below
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆134Updated 11 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆86Updated 4 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆82Updated 4 months ago
- ☆41Updated 3 years ago
- ☆19Updated 3 years ago
- A package for computing data-driven approximations to the Koopman operator.☆333Updated 3 months ago
- ☆41Updated 7 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆55Updated 4 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆10Updated 4 years ago
- Data-driven dynamical systems toolbox.☆72Updated last month
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆72Updated 2 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆74Updated 2 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆46Updated last month
- ☆27Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆66Updated 9 months ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆60Updated 2 months ago
- PySINDy GUI☆37Updated last year
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆62Updated 4 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆93Updated last week
- Hidden physics models: Machine learning of nonlinear partial differential equations☆143Updated 4 years ago
- ☆265Updated 4 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆33Updated 11 months ago
- Compressive dynamic mode decomposition with control for compressive system identification☆38Updated 7 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆19Updated last year
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆30Updated 3 years ago
- Koopman Mode Decomposition☆71Updated 7 years ago
- SINDy-SA Framework: Enhancing nonlinear system identification with sensitivity analysis☆11Updated 2 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆106Updated 6 months ago