A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Echo State Networks in Python

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.

Code for Reservoir computing (Echo state network)

NNAEC-Neural Network based Acoustic Echo Cancellation

a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning

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

Machine Learning with Echo State Networks, a scikit-learn compatible package.

Nengo library of additional extensions

Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.

[Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."

Echo state network framework, NARMA10 dataset generator as an demonstration supplied.

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

Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.

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.

Tackling ESA's Mars Express Power Challenge with Echo State Networks