E-Renshaw / kuramoto-sivashinsky
A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB
☆25Updated 6 years ago
Alternatives and similar repositories for kuramoto-sivashinsky:
Users that are interested in kuramoto-sivashinsky are comparing it to the libraries listed below
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆93Updated last year
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆41Updated 6 months ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆40Updated 4 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆34Updated 5 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆43Updated 2 years ago
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆15Updated 11 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆33Updated 3 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 4 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆16Updated 2 years ago
- ☆30Updated last year
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- ☆163Updated 11 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆62Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- Try to approximate the solution of Fokker-Planck equation☆9Updated last year
- ☆25Updated 2 years ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆36Updated 9 months ago
- ☆27Updated 8 months ago
- ☆15Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆128Updated 3 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆31Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- ☆46Updated 3 weeks ago
- ☆21Updated 4 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆28Updated 2 years ago
- Code and files related to random side projects☆21Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆62Updated 2 years ago
- ☆13Updated 4 months ago