ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models
This provides a software tool for researchers and practitioners in machine learning to easily implement and experiment with reservoir computing algorithms.
The authors introduced ReservoirComputing.jl, an open-source Julia library for reservoir computing models, which is modular, fast, and includes comprehensive documentation with reproduced experiments.
We introduce ReservoirComputing.jl, an open source Julia library for reservoir computing models. The software offers a great number of algorithms presented in the literature, and allows to expand on them with both internal and external tools in a simple way. The implementation is highly modular, fast and comes with a comprehensive documentation, which includes reproduced experiments from literature. The code and documentation are hosted on Github under an MIT license https://github.com/SciML/ReservoirComputing.jl.