A package of simple reservoir computing tools
-
Updated
Dec 24, 2018 - Python
A package of simple reservoir computing tools
Introducing "Causal Influence Decomposition" and trying it on an Echo State Network.
EvoESN: a neuroevolutionary framework for the Echo State Network model
Slides for the 26th International Conference on Computational Statistics (COMPSTAT 2024)
Repo for Bees outperform vertebrates in a delayed conditional learning task
Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions
Computational Neuroscience models
Human Activity Recognition using Echo State Networks.
A simple Python implementation of EchoStateNetwork
Music generation with machine learning: Completing Bach's unfinished Contrapunctus XIV. A variety of models including linear regression, multilayer perceptrons and echo state networks are used as autoregressive models to take on the challenging time-series task.
Federated Echo State Networks for Stress Prediction in the Automotive Use Case. Master Thesis in Artificial Intelligence @ University of Pisa
Notebooks, learning materials
ESN implementation of reservoir computing
Code for Computational Neuroscience course 2020/2021 @ UniPi
Pytorch version of ESN. Learning algorithms include FORCE, inverse matrix, and Gradient Descent. Unlike traditional ESNs, large storage nodes can be used using memory much more efficiently.
course project
Kaggle Toxic Comment Classification Challenge models (https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)
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.
Reservoir Networks or Echo State Networks jupyter notes
Add a description, image, and links to the echo-state-networks topic page so that developers can more easily learn about it.
To associate your repository with the echo-state-networks topic, visit your repo's landing page and select "manage topics."