haller-group / SSMLearnLinks
Data-driven reduced order modeling for nonlinear dynamical systems
☆97Updated this week
Alternatives and similar repositories for SSMLearn
Users that are interested in SSMLearn are comparing it to the libraries listed below
Sorting:
- Data-driven reduced order modeling for nonlinear dynamical systems☆34Updated 2 months ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆162Updated last year
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆160Updated 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
- Computation of invariant manifolds in high-dimensional mechanics problems☆27Updated 2 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆29Updated last year
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆41Updated last year
- mathLab mirror of Python Dynamic Mode Decomposition☆112Updated 10 months ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆35Updated 4 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆31Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆49Updated 8 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆41Updated 8 years ago
- Optimal Control with PDEs solved by a Differentiable Solver☆13Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Matlab implementation of online and window dynamic mode decomposition algorithms☆13Updated 4 years ago
- computational adjoint-based shape optimization and optimal control software for python☆60Updated this week
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆77Updated this week
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆90Updated 5 months ago
- ☆27Updated 4 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆120Updated 3 months ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Algebraic Dynamic Mode Decomposition with Model Predictive Control☆24Updated 5 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆45Updated 3 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆92Updated 5 years ago
- ☆49Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆83Updated 3 years ago