There are 10 repositories under echo-state-networks topic.
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
An Echo State Network module for PyTorch.
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.
NNAEC-Neural Network based Acoustic Echo Cancellation
a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
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.
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
[Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."
Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
Tackling ESA's Mars Express Power Challenge with Echo State Networks
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).
Continual Learning with Echo State Networks experiments
A new version of world models using Echo-state networks and random weight-fixed CNNs
Repo for EchoVPR: Echo State Networks for Visual Place Recognition
Computational Neuroscience projects.
Experimental R interface for ReservoirPy
Prediction spatio-temporal dynamics using Reservoir Computing
Dynamic Graph Echo State Networks
Question Classification with Untrained Recurrent Embeddings
Scripts for the examples in the ReservoirComputing.jl documentation
The research course project about natural language generation via Echo State Network
Stochastic Processes Comparison of Accuracy: Data Assimilation, Echo State Machines and Nonlinear Vector Autoregressive Learning Methods. ### Comparing discrete and variational data assimilation methods to reservoir computing - machine learning for synthetic chaotic nonlinear dynamical systems
DTS-ESN: an extended ESN model with diverse timescales (Python)
Dash App to Visualize ESN Time Series Predictions