andrekovac / reservoir-persistent-memory
Simulation code of the paper "Persistent Memory in Single Node Delay-Coupled Reservoir Computing"
☆16Updated 3 years ago
Alternatives and similar repositories for reservoir-persistent-memory:
Users that are interested in reservoir-persistent-memory are comparing it to the libraries listed below
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.o…☆42Updated 5 years ago
- A massively parallel echo state network to classify the MNIST dataset☆11Updated 5 years ago
- Matlab implementation of Echo State Network (reservoir computing)☆25Updated 7 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
- Demonstration of reservoir computing using a single dynamical node as described in: https://www.nature.com/articles/ncomms1476☆10Updated 6 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆94Updated 2 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆44Updated 2 years ago
- A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB☆25Updated 6 years ago
- Repository for paper "Hands-on reservoir computing" (NCE, 2022)☆27Updated 2 years ago
- Python3 Implementation of a Multi-Delay Coupled Reservoir, with a Demonstration on a NARMA10 Dataset.☆10Updated 7 years ago
- A flexible and extensible echo state network framework for Matlab☆20Updated 7 years ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆40Updated 4 years ago
- Neural network (reservoir computing system) based on electro-optical delay setup☆13Updated 5 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆41Updated 8 months ago
- Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)☆18Updated 3 years ago
- EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.☆20Updated last year
- A MATLAB implementation of an Echo State Network, using an unsupervised learning rule for pre-training the reservoir called Intrinsic Pla…☆10Updated 6 years ago
- Echo state network framework, NARMA10 dataset generator as an demonstration supplied.☆18Updated 7 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆29Updated 2 years ago
- Non-Linear Dynamic Systems☆24Updated 3 years ago
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆18Updated 4 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Dynamic Mode Decomposition☆58Updated 7 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Estimate maximum Lyapunov exponent for short time series using Rosenstein, et al. method☆10Updated 9 years ago
- Reduced-order modelling using an atlas of charts☆25Updated 2 years ago
- ☆21Updated 4 years ago
- ☆27Updated 6 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Code for the paper "Next Generation Reservoir Computing"☆168Updated 3 years ago