Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
☆27Feb 24, 2022Updated 4 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:
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Aug 19, 2017Updated 8 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Jan 8, 2021Updated 5 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65May 10, 2020Updated 5 years ago
- Repository for Deterministic Particle Flow Control framework☆10Nov 13, 2022Updated 3 years ago
- ☆15Oct 18, 2024Updated last year
- Source code for Deep Partial Least Squares for Empirical Asset Pricing.☆15Jun 22, 2022Updated 3 years ago
- explore the FV3 data for parameterization☆18Jan 7, 2025Updated last year
- ☆14Jan 27, 2022Updated 4 years ago
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆19Aug 13, 2020Updated 5 years ago
- custom LAMMPS fix used for Brownian Dynamics Simulation (Overdamped Langevin)☆18Sep 11, 2021Updated 4 years ago
- A collection of codes and references for deep learning in fluid dynamics☆19Jun 10, 2021Updated 4 years ago
- ☆44Feb 1, 2018Updated 8 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆19Sep 8, 2022Updated 3 years ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆55Mar 18, 2021Updated 4 years ago
- ☆22Dec 2, 2024Updated last year
- A PyTorch library for all things nonlinear control and reinforcement learning.☆48Oct 22, 2021Updated 4 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Dec 8, 2022Updated 3 years ago
- A package for computing data-driven approximations to the Koopman operator.☆411Jan 22, 2026Updated last month
- ☆21Sep 28, 2020Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆61May 20, 2022Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆28Aug 8, 2018Updated 7 years ago
- Models and parameterizations for the turbulent ocean surface boundary layer in Julia☆25Dec 1, 2022Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Jun 25, 2020Updated 5 years ago
- Symplectic Recurrent Neural Networks☆28Jan 18, 2023Updated 3 years ago
- 化学反応解析ソフトCanteraの情報☆10Apr 15, 2025Updated 10 months ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆31Oct 2, 2017Updated 8 years ago
- A repository to collect coding material for the Polimi's course "Creative Programming and Computing" held by prof. Massimiliano Zanoni in…☆11Dec 11, 2019Updated 6 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆31Jul 30, 2022Updated 3 years ago
- Methods for numerical differentiation of noisy data in python☆130Updated this week
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Mar 5, 2021Updated 5 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated last year
- A package for the sparse identification of nonlinear dynamical systems from data☆1,757Feb 28, 2026Updated last week
- A program for calculating gaussian beam propagation, with a working mac version☆11Sep 26, 2024Updated last year
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆80Jan 15, 2026Updated last month
- ☆10Dec 25, 2025Updated 2 months ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆39Sep 4, 2024Updated last year
- Code for the paper "SMACE: A New Method for the Interpretability of Composite Decision Systems", ECML 2022☆15Apr 17, 2023Updated 2 years ago
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆11Apr 15, 2024Updated last year
- Enhanced Explainable Neural Network☆10Dec 25, 2021Updated 4 years ago