andreikitaitsev / SymINDyLinks
Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-based symbolic regression.
☆76Updated 3 years ago
Alternatives and similar repositories for SymINDy
Users that are interested in SymINDy 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…☆57Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆153Updated 4 years ago
- Methods for numerical differentiation of noisy data in python☆122Updated 2 weeks ago
- PySINDy GUI☆41Updated 2 years ago
- Data-driven dynamical systems toolbox.☆76Updated 2 months ago
- ☆29Updated 2 years ago
- ☆41Updated 7 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆143Updated 2 months ago
- PySensors is a Python package for sparse sensor placement☆100Updated last month
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆25Updated 7 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆79Updated 2 months ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 4 months ago
- Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data☆73Updated 5 years ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- A package for computing data-driven approximations to the Koopman operator.☆378Updated 11 months ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆84Updated last week
- Data-driven reduced order modeling for nonlinear dynamical systems☆89Updated 3 months ago
- mathLab mirror of Python Dynamic Mode Decomposition☆105Updated 6 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆54Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆59Updated 4 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 5 months ago
- Data Science for Dynamical System Course☆125Updated 11 months ago
- A general-purpose Python package for Koopman theory using deep learning.☆108Updated last week