A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
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Updated
Jul 17, 2024 - Python
A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
The implementation of HP-MRESN: an efficient method for nonlinear time-series prediction
An easy-to-use independent machine learning library for .net. It offers MLP models (including deep RVFL aka ELM) for common ML tasks as well as Reservoir Computer for efficiently solving ML tasks on time series data.
turbESN is an echo state network implementation, used in my PhD research as part of the DeepTurb project of the Carl-Zeiss Stiftung. See https://pypi.org/project/turbESN/
Reservoir computing with coupled genetic oscillators for arrhythmia classification
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