william-redman / Koopman-Neural-Network-Training
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
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆36Updated last year
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- Data-driven dynamical systems toolbox.☆73Updated last month
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆72Updated 11 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 4 years ago
- ☆41Updated 3 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- ☆41Updated 7 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆142Updated 3 years ago
- ☆29Updated 2 years ago
- ☆27Updated 5 years ago
- ☆21Updated 4 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆97Updated 2 months ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- ☆14Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆23Updated 6 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆23Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆20Updated 2 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆39Updated 7 years ago
- ☆28Updated 6 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆46Updated 6 months ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆138Updated last year
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆42Updated 2 years ago
- ☆27Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- A Python package to learn the Koopman operator.☆55Updated 4 months ago
- ☆20Updated 3 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago