niallmm / Hybrid-SINDy
Sparse Identification of Nonlinear Dynamics for Hybrid Systems
☆22Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Hybrid-SINDy
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- ☆21Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆52Updated 2 years ago
- ☆25Updated 6 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆27Updated 7 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆19Updated last year
- Compressive dynamic mode decomposition with control for compressive system identification☆37Updated 6 years ago
- Dynamic Mode Decomposition☆57Updated 7 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆60Updated 4 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆43Updated 7 years ago
- ☆27Updated 2 years ago
- ☆41Updated 6 years ago
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆17Updated 6 years ago
- Data-driven dynamical systems toolbox.☆67Updated 9 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆66Updated 4 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆29Updated 8 months ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆30Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆24Updated 2 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆61Updated 4 years ago
- ☆27Updated 4 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆14Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆31Updated last year
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 6 months ago
- MATLAB packages accompanying the review article "The Multiverse of Dynamic Mode Decomposition Algorithms"☆13Updated 6 months ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 3 years ago