Conversion of a dense feedforward neural net to a reservoir computer/ESN in Python/Pytorch

This page summarizes the projects mentioned and recommended in the original post on /r/neuralnetworks

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  • Time-series-classification-and-clustering-with-Reservoir-Computing

    Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

  • The most helpful, application-wise, seems to be built around this paper. There's an associated github repo, and a lighter intro to it via medium.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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