A simple and flexible code for Reservoir Computing architectures like Echo State Networks
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Updated
Nov 15, 2024 - Python
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
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.
New generation of social network for helping international students - used by sections of Erasmus Student Network. 💜 By volunteers, for volunteers.
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.
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
An Echo State Network module for PyTorch.
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.
Repo for EchoVPR: Echo State Networks for Visual Place Recognition
This repository is for the final project of the Neural Network course (Master of Engineering in Computer Science - Sapienza University of Rome).
simple Echo State Networks integrated with scikit-learn
Distributed parallel implementation of the Echo State Network using MPI
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