Echo State Networks in Python
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Updated
May 6, 2020 - Jupyter Notebook
Echo State Networks in Python
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.
An Echo State Network module for PyTorch.
Python library for Reservoir Computing using Echo State Networks
Reservoir computing utilities for scientific machine learning (SciML)
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
Code for Reservoir computing (Echo state network)
A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
Material for the course "Time series analysis with Python"
Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.
Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
Machine Learning with Echo State Networks, a scikit-learn compatible package.
Repository for paper "Hands-on reservoir computing" (NCE, 2022)
Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
Simulation code of the paper "Persistent Memory in Single Node Delay-Coupled Reservoir Computing"
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.
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