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

An Echo State Network module for PyTorch.

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

simple Echo State Networks integrated with scikit-learn

Repo for EchoVPR: Echo State Networks for Visual Place Recognition

Discord bot made for ESN VUT Brno to automatize processes in the section's guild.

This repository is for the final project of the Neural Network course (Master of Engineering in Computer Science - Sapienza University of Rome).

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.

A library for ESN creation and usage

New generation of social network for helping international students - used by sections of Erasmus Student Network. 💜 By volunteers, for volunteers.

Distributed parallel implementation of the Echo State Network using MPI

Implementation of fully distributed Federated Learning through the use of network consensus processes. A subtype of Recurrent Neural Networks called Echo State Networks is trained, whose main characteristic is that its structure is randomly generated at the time of model creation.

The Netflix ESN Generator is a user-friendly application designed to create unique Electronic Serial Numbers (ESNs) for various streaming devices compatible with Netflix.

A robust model of gated graded working memory