dynamicslab / pykoopmanLinks
A package for computing data-driven approximations to the Koopman operator.
☆389Updated last year
Alternatives and similar repositories for pykoopman
Users that are interested in pykoopman are comparing it to the libraries listed below
Sorting:
- neural networks to learn Koopman eigenfunctions☆446Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆115Updated last month
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆154Updated 4 years ago
- ☆374Updated 4 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆109Updated 8 months ago
- A library for Koopman Neural Operator with Pytorch.☆309Updated last year
- A package for the sparse identification of nonlinear dynamical systems from data☆10Updated 5 years ago
- ☆291Updated 5 years ago
- Data-driven dynamical systems toolbox.☆77Updated 3 weeks ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆79Updated last year
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆161Updated last year
- Python Dynamic Mode Decomposition☆1,058Updated last month
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆90Updated last year
- Koopman Reduced-Order Nonlinear Identification and Control☆92Updated 5 years ago
- A Python package to learn the Koopman operator.☆63Updated last week
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆81Updated 3 years ago
- PySINDy GUI☆44Updated 2 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆65Updated 6 months ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆149Updated 3 weeks ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- ☆89Updated 2 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆86Updated 3 months ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆37Updated 2 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆98Updated last month
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,222Updated last month
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆142Updated 2 months ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆31Updated 3 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆94Updated last week
- Lagrangian Neural Networks☆522Updated last month
- PySensors is a Python package for sparse sensor placement☆106Updated 3 weeks ago