echo-state-networks

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.

Echo State Networks in Python

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

Reservoir computing utilities for scientific machine learning (SciML)

An Echo State Network module for PyTorch.

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

Nengo library of additional extensions

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

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

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

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

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

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

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

Continual Learning with Echo State Networks experiments

Echo State Networks for Time Series Forecasting

This repository contains the code used to produce the results presented in the IJCNN 2017 paper "DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout" by D. Bacciu, F. Crecchi (University of Pisa) and D. Morelli (Biobeats LTD).