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

Open PaaS Enterprise Social Network

An Echo State Network module for PyTorch.

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).

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

Echo State Networks with TensorFlow

simple Echo State Networks integrated with scikit-learn

This project is now at heddendorp/tumi

ESN Assembly app

Computational Neuroscience projects.

Prediction spatio-temporal dynamics using Reservoir Computing

Reservoir Computing, an RNN flavor

Repo for EchoVPR: Echo State Networks for Visual Place Recognition

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

Experimental R interface for ReservoirPy

Dynamic Graph Echo State Networks

A new Echo State Network library

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

Implements Echo State Networks, a machine learning concept from reservoir computing

The research course project about natural language generation via Echo State Network

A small web app to improve discussions

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

Final project for the course "Introduction to Neuroscience" (2024 Fall).

The ESN Buddy Matcher is a Python tool that pairs local and incoming students based on interests and availability. It utilizes data processing and the Kuhn-Munkres algorithm to create an optimal matching matrix for better student integration.

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.

Tutorials: Predictions in Chaotic Dynamical Systems

Reservoir Networks or Echo State Networks jupyter notes

Echo State Network C/C++/Python

API for the perfect ESN association.