dynamicslab / SINDy-PILinks
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
☆146Updated 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
Sorting:
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆95Updated 3 months ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆150Updated last year
- Data-driven reduced order modeling for nonlinear dynamical systems☆81Updated last week
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- A package for computing data-driven approximations to the Koopman operator.☆361Updated 7 months ago
- ☆41Updated 7 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- ☆44Updated 3 years ago
- Data-driven dynamical systems toolbox.☆74Updated last month
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- PySINDy GUI☆38Updated 2 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆55Updated 2 months ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 2 years ago
- ☆22Updated 3 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆119Updated 3 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆75Updated 2 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆30Updated 7 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆103Updated 4 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆75Updated last year
- Koopman Mode Decomposition☆71Updated 7 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆75Updated this week
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆145Updated 5 years ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆30Updated 4 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- Data-driven reduced order modeling for nonlinear dynamical systems☆30Updated last month
- Compressive dynamic mode decomposition with control for compressive system identification☆40Updated 7 years ago