A package of simple reservoir computing tools
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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
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
course project
Reservoir Networks or Echo State Networks jupyter notes
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.
Implementation of Echo State Networks, a special kind of Recurrent Neural Networks
High-performance Echo State Network simulation, optimization and visualization in modern C++.
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