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.

Reservoir computing utilities for scientific machine learning (SciML)

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

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.

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

Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.

Echo State Networks for Time Series Forecasting

In this paper, we propose the use of Echo State Networks, for anomaly detection on-the-edge in aerospace applications. The anomaly detection method uses a nonparametric dynamic threshold to detect anomalous behaviours from the observed data by comparing it to the model's predictions.

Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions

High-performance Echo State Network simulation, optimization and visualization in modern C++.

Out-of-the-box framework for Echo State Networks

Scripts for the examples in the ReservoirComputing.jl documentation

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

Nengo library of additional extensions

Experimental R interface for ReservoirPy

Human Activity Recognition using Echo State Networks.

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

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

EvoESN: a neuroevolutionary framework for the Echo State Network model