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Hands-on reservoir computing

Repository for the paper "Hands-on reservoir computing: a tutorial for practical implementation" (Neuromorphic Computing and Engineering, 2022), link to paper.

Please see the handson_tutorial notebook for a hands-on tutorial that walks through the setup, training, and optimization of a physical reservoir system, using a blackbox simulated reservoir (found in the reservoir Python script) as a stand-in for a physical reservoir. The tutorial uses the Iris dataset which can be downloaded via the UCI ML Repository or via Kaggle (registration may be required). It is already available as a CSV file in this repository.