iank / lyapunov_estimation
Estimate maximum Lyapunov exponent for short time series using Rosenstein, et al. method
☆10Updated 9 years ago
Alternatives and similar repositories for lyapunov_estimation:
Users that are interested in lyapunov_estimation are comparing it to the libraries listed below
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆40Updated 5 months ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆39Updated 4 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆93Updated last year
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.o…☆40Updated 4 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Source code to run experiments on higher-order quantum reservoir computing☆13Updated 2 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆34Updated 4 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆38Updated 7 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆62Updated 4 years ago
- Non-Linear Dynamic Systems☆23Updated 3 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- ☆41Updated 6 years ago
- A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB☆25Updated 6 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- ☆18Updated 2 years ago
- ☆21Updated 4 years ago
- ☆19Updated 2 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆28Updated 2 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆33Updated 2 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆23Updated last year
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆27Updated 3 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆43Updated 2 years ago
- ☆24Updated 2 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆23Updated 3 years 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…☆18Updated 3 years 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
- Quantification of Uncertainties in Neural Networks☆10Updated 2 months ago