william-redman / Koopman-Neural-Network-TrainingLinks
Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theory" NeurIPS 2020 for details).
☆21Updated 2 years ago
Alternatives and similar repositories for Koopman-Neural-Network-Training
Users that are interested in Koopman-Neural-Network-Training are comparing it to the libraries listed below
Sorting:
- Data-driven dynamical systems toolbox.☆80Updated 2 weeks ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆61Updated 3 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆161Updated 4 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆42Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- ☆44Updated 8 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆28Updated 7 years ago
- Port-Hamiltonian Approach to Neural Network Training☆27Updated 6 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- ☆21Updated 5 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆32Updated 4 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆45Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- ☆28Updated 3 years ago
- neural networks to learn Koopman eigenfunctions☆467Updated last year
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- Koopman Mode Decomposition☆74Updated 8 years ago
- ☆30Updated 7 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆163Updated last year
- A Python package to learn the Koopman operator.☆66Updated last week
- ☆45Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- ☆74Updated 5 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆20Updated 7 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 4 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆27Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆31Updated 8 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago