dynamicslab / langevin-regression
Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
☆25Updated 3 years ago
Alternatives and similar repositories for langevin-regression
Users that are interested in langevin-regression are comparing it to the libraries listed below
Sorting:
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆14Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆68Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 2 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- ☆21Updated 4 years ago
- ☆18Updated 4 years ago
- ☆41Updated 5 years ago
- ☆29Updated 6 years ago
- Dynamic Mode Decomposition☆59Updated 7 years ago
- ☆14Updated 3 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 4 months ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- ☆16Updated 9 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- ☆32Updated 9 months ago
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems☆10Updated 9 months ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆66Updated last year
- Stiff Neural Ordinary Differential Equations☆33Updated last year
- ☆41Updated 7 years ago
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago