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 last year
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
- Data-driven dynamical systems toolbox.☆73Updated last month
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆35Updated last year
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆72Updated 10 months ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆23Updated 6 years ago
- ☆27Updated 6 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 4 years ago
- ☆14Updated 3 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- ☆19Updated 3 years ago
- ☆41Updated 3 years ago
- ☆29Updated 2 years ago
- ☆21Updated 4 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆42Updated 2 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Koopman Mode Decomposition☆71Updated 7 years ago
- A Python package to learn the Koopman operator.☆54Updated 4 months ago
- ☆41Updated 7 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆20Updated 2 years ago
- Learning dynamical systems from data: Koopman☆15Updated 5 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆142Updated 3 years ago
- ☆41Updated 4 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆39Updated 7 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago