Ohjeah / sparsereg
a collection of modern sparse (regularized) linear regression algorithms.
☆61Updated 4 years ago
Alternatives and similar repositories for sparsereg:
Users that are interested in sparsereg are comparing it to the libraries listed below
- ☆27Updated 6 years ago
- ☆21Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆23Updated 6 years ago
- Dynamic Mode Decomposition☆58Updated 7 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last month
- ☆41Updated 7 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆75Updated 2 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 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
- ☆29Updated 2 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆29Updated 7 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆20Updated last year
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- Data-driven dynamical systems toolbox.☆73Updated last month
- ☆27Updated 5 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆38Updated 7 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆30Updated 6 months ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆18Updated 4 years ago
- ☆72Updated 4 years ago