Popular GitHub Repositories for Reservoir Computing

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

An Echo State Network module for PyTorch.

Reservoir computing utilities for scientific machine learning (SciML)

Python library for Reservoir Computing using Echo State Networks

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).

Multivariate time series classification with a bi-directional ESN with a deep neural network readout.

Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.

An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.

Echo State Networks for Time Series Forecasting

Computational Neuroscience projects.

A new version of world models using Echo-state networks and random weight-fixed CNNs

A new Echo State Network library

Dynamic State Network (DSN) Reservoir Computer

RCax: Reservoir Computing with JAX