BethanyL / DeepKoopmanLinks
neural networks to learn Koopman eigenfunctions
☆418Updated last year
Alternatives and similar repositories for DeepKoopman
Users that are interested in DeepKoopman are comparing it to the libraries listed below
Sorting:
- A package for computing data-driven approximations to the Koopman operator.☆361Updated 7 months ago
- ☆357Updated 3 years ago
- A library for Koopman Neural Operator with Pytorch.☆290Updated 8 months ago
- A general-purpose Python package for Koopman theory using deep learning.☆103Updated 4 months ago
- Data-driven dynamical systems toolbox.☆74Updated last month
- Code for our paper "Hamiltonian Neural Networks"☆474Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- ☆253Updated 2 years ago
- A Python package to learn the Koopman operator.☆57Updated 7 months ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆150Updated last year
- Lagrangian Neural Networks☆501Updated last year
- ☆278Updated 5 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆146Updated 3 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆75Updated last year
- Python Dynamic Mode Decomposition☆1,003Updated 3 weeks ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆142Updated 5 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- ☆41Updated 7 years ago
- Physics-informed learning of governing equations from scarce data☆145Updated last year
- Linear and non-linear spectral forecasting algorithms☆136Updated 4 years ago
- Koopman Mode Decomposition☆71Updated 7 years ago
- Transformers for modeling physical systems☆140Updated last year
- ☆212Updated 3 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- ☆109Updated 4 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 2 years ago