CraigGin / PDEKoopman
☆8Updated 4 years ago
Alternatives and similar repositories for PDEKoopman:
Users that are interested in PDEKoopman are comparing it to the libraries listed below
- ☆41Updated 7 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- ☆19Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- ☆29Updated 2 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆35Updated last year
- ☆27Updated 6 years ago
- ☆21Updated 4 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- ☆14Updated 3 years ago
- ☆11Updated 3 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- ☆41Updated 4 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 2 years ago
- ☆47Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆20Updated 2 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- ☆12Updated 2 years ago
- Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…☆30Updated 2 years ago
- PySensors is a Python package for sparse sensor placement☆88Updated 2 weeks ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆28Updated 2 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆29Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆23Updated 6 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- ☆35Updated last year
- multifidelity global sensitivity analysis☆16Updated 2 years ago