A simple and flexible code for Reservoir Computing architectures like Echo State Networks
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Updated
Sep 8, 2024 - Python
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Implements Echo State Networks, a machine learning concept from reservoir computing
This repository contains an implementation of a trend prediction algorithm that leverages KRX (Korea Exchange) data and various technical analysis (TA) indicators. The algorithm is designed to optimize for both profitability and minimized maximum drawdown (MDD), providing a balance between potential returns and risk mitigation.
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.
A new Echo State Network library
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.
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.
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