cbnfreitas / kuramoto_model_integrate_and_plot
Numerical integration of the Kuramoto Model in Python 3
☆17Updated 7 years ago
Alternatives and similar repositories for kuramoto_model_integrate_and_plot:
Users that are interested in kuramoto_model_integrate_and_plot are comparing it to the libraries listed below
- Tool to numerically solve and analyse simplicial Kuramoto models.☆19Updated last year
- Quasi-Newton algorithm for joint-diagonalization☆32Updated 2 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data☆70Updated 4 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆94Updated 2 years ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆42Updated 6 months ago
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆18Updated 4 years ago
- Modeling, simulation and code-generation of multiphysical Port-Hamiltonian Systems in Python.☆48Updated 3 years ago
- ☆19Updated 2 years ago
- ☆16Updated 3 years ago
- Python implementation of the Kuramoto model☆139Updated 9 months 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
- ☆17Updated 4 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆29Updated 2 years ago
- Empirical dynamic modeling in scikit-learn's style☆24Updated 7 years ago
- ☆44Updated 2 years ago
- ☆72Updated 4 years ago
- Reduced-order modelling using an atlas of charts☆25Updated 2 years ago
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆30Updated 6 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆37Updated 6 months ago
- ☆35Updated last year
- Linear and non-linear spectral forecasting algorithms☆137Updated 4 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Optimal Hard Threshold for Matrix Denoising☆37Updated 3 years ago
- Code for simulating collective motion from groups of continuous-time and -space active inference agents.☆44Updated 10 months ago
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆21Updated 6 years ago
- Dynamic Mode Decomposition☆58Updated 7 years ago
- Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.☆21Updated 2 years ago
- Automated dynamical systems inference☆38Updated last year