BethanyL / DeepKoopmanLinks
neural networks to learn Koopman eigenfunctions
☆430Updated 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.☆378Updated 11 months ago
- ☆370Updated 3 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆108Updated last week
- A Python package to learn the Koopman operator.☆61Updated this week
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆153Updated 4 years ago
- A library for Koopman Neural Operator with Pytorch.☆303Updated last year
- Code for our paper "Hamiltonian Neural Networks"☆482Updated 4 years ago
- Data-driven dynamical systems toolbox.☆76Updated 2 months ago
- Lagrangian Neural Networks☆515Updated last week
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- ☆41Updated 7 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆37Updated 2 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆91Updated 5 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- ☆262Updated 2 years ago
- Koopman Mode Decomposition☆73Updated 8 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆105Updated 7 months ago
- Transformers for modeling physical systems☆144Updated 2 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆158Updated last year
- Linear and non-linear spectral forecasting algorithms☆138Updated 4 years ago
- ☆89Updated 2 years ago
- ☆193Updated 6 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆78Updated last year
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆52Updated 3 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆278Updated 3 years ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆32Updated 3 months ago
- ☆15Updated 4 years ago
- Python model for constrained GP☆26Updated 4 years ago