dynamicslab / langevin-regressionLinks
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:
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆14Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- ☆29Updated 7 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- ☆41Updated 5 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆18Updated 4 years ago
- ☆21Updated 4 years ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- ☆16Updated 10 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…☆20Updated 4 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆74Updated 6 months ago
- ☆32Updated 11 months ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- ME 697 - Advanced Scientific Machine Learning☆22Updated last month
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Dynamic Mode Decomposition☆59Updated 7 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆69Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆75Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago