andrekovac / reservoir-persistent-memory
Simulation code of the paper "Persistent Memory in Single Node Delay-Coupled Reservoir Computing"
☆15Updated 3 years ago
Related projects: ⓘ
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.o…☆37Updated 4 years ago
- Matlab implementation of Echo State Network (reservoir computing)☆21Updated 7 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆31Updated 4 years ago
- Repository for paper "Hands-on reservoir computing" (NCE, 2022)☆23Updated last year
- A flexible and extensible echo state network framework for Matlab☆18Updated 7 years ago
- Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)☆15Updated 2 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆39Updated last month
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆36Updated 3 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆86Updated last year
- Python3 Implementation of a Multi-Delay Coupled Reservoir, with a Demonstration on a NARMA10 Dataset.☆10Updated 6 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆41Updated last year
- Neural network (reservoir computing system) based on electro-optical delay setup☆9Updated 4 years ago
- A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB☆26Updated 5 years ago
- Code for the paper "Next Generation Reservoir Computing"☆155Updated 3 years ago
- ☆22Updated 9 months ago
- Code to run dynamical simulations on a Kuramoto Network Model of Coupled Phase Oscillators with Time Delays and visualize the results.☆12Updated 5 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆22Updated 2 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆17Updated 5 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆11Updated 4 years ago
- Echo state network framework, NARMA10 dataset generator as an demonstration supplied.☆19Updated 6 years ago
- ☆12Updated last year
- ☆21Updated 3 years ago
- Non-Linear Dynamic Systems☆23Updated 3 years ago
- EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.☆20Updated 9 months ago
- NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch☆25Updated last year
- ☆11Updated 3 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 2 years ago
- Code for Reservoir computing (Echo state network)☆54Updated 5 years ago
- The codes in the toolbox can be used to perform nonlinear time series analysis on single(or multi) channel data. This is done by mapping …☆29Updated 3 years ago
- ☆15Updated 4 years ago