Alternatives and similar repositories for lyapunov_estimation

Users that are interested in lyapunov_estimation are comparing it to the libraries listed below

• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆46Updated last year
• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆96Updated 2 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 3 years ago
• ashesh6810 / RCESN_spatio_temporal
  Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
  ☆45Updated 5 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆44Updated 3 years ago
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆31Updated 3 years ago
• duqbo / optdmd
  A MATLAB package for computing the optimized dynamic mode decomposition (DMD)
  ☆19Updated 7 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• E-Renshaw / kuramoto-sivashinsky
  A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB
  ☆28Updated 7 years ago
• sayin / Data_Driven_Symbolic_Regression
  Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …
  ☆34Updated 4 years ago
• cselab / LED
  ☆21Updated 3 years ago
• sandialabs / quinn
  Quantification of Uncertainties in Neural Networks
  ☆11Updated last month
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆59Updated 3 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 5 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆36Updated 3 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆26Updated 3 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆108Updated last month
• pooyasf / DGM
  Solving High Dimensional Partial Differential Equations with Deep Neural Networks
  ☆34Updated 3 years ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆49Updated 8 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 4 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago
• Devrim-Celik / simple_echo_state_network
  Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
  ☆20Updated 7 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆101Updated 3 months ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆138Updated 4 years ago
• loiseaujc / SINDy
  ☆42Updated 7 years ago
• dg227 / NLSA
  Kernel methods for statistical modeling of dynamical systems
  ☆26Updated 2 months ago
• Rose-STL-Lab / Equivariant-Net
  ☆35Updated 2 years ago