reservoirnet - Reservoir Computing and Echo State Networks
A simple user-friendly library based on the 'python'
module 'reservoirpy'. It provides a flexible interface to
implement efficient Reservoir Computing (RC) architectures with
a particular focus on Echo State Networks (ESN). Some of its
features are: offline and online training, parallel
implementation, sparse matrix computation, fast spectral
initialization, advanced learning rules (e.g. Intrinsic
Plasticity) etc. It also makes possible to easily create
complex architectures with multiple reservoirs (e.g. deep
reservoirs), readouts, and complex feedback loops. Moreover,
graphical tools are included to easily explore hyperparameters.
Finally, it includes several tutorials exploring time series
forecasting, classification and hyperparameter tuning. For more
information about 'reservoirpy', please see Trouvain et al.
(2020) <doi:10.1007/978-3-030-61616-8_40>. This package was
developed in the framework of the University of Bordeaux’s IdEx
"Investments for the Future" program / RRI PHDS.
