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

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

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

Code for Reservoir computing (Echo state network)

Notebooks for the course "Time series analysis with Python"

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

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

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

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.

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

EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.

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.