kpchamp / SindyAutoencodersLinks
☆360Updated 3 years ago
Alternatives and similar repositories for SindyAutoencoders
Users that are interested in SindyAutoencoders are comparing it to the libraries listed below
Sorting:
- neural networks to learn Koopman eigenfunctions☆422Updated last year
- A package for computing data-driven approximations to the Koopman operator.☆367Updated 8 months ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆149Updated 3 years ago
- Lagrangian Neural Networks☆504Updated last year
- Code for our paper "Hamiltonian Neural Networks"☆475Updated 4 years ago
- Code and files related to random side projects☆21Updated 3 years ago
- ☆253Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- Python Dynamic Mode Decomposition☆1,007Updated last month
- ☆182Updated 3 months ago
- mathLab mirror of Python Dynamic Mode Decomposition☆97Updated 4 months ago
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,607Updated last week
- Linear and non-linear spectral forecasting algorithms☆137Updated 4 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆151Updated last year
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆104Updated 5 months ago
- A Python package to learn the Koopman operator.☆60Updated 7 months ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆120Updated 3 months ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- Data-driven dynamical systems toolbox.☆74Updated 2 months ago
- Hundreds of strange attractors☆479Updated last week
- ☆12Updated 2 years ago
- Transformers for modeling physical systems☆141Updated last year
- A library for Koopman Neural Operator with Pytorch.☆293Updated 9 months ago
- ☆14Updated 9 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆444Updated 2 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago