https://github.com/stevenabreu7/handson_reservoir

Repository for paper "Hands-on reservoir computing" (NCE, 2022)
https://github.com/stevenabreu7/handson_reservoir

machine-learning physical-computing reservoir reservoir-computing tutorial

Last synced: about 1 year ago
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Repository for paper "Hands-on reservoir computing" (NCE, 2022)

• Host: GitHub
• URL: https://github.com/stevenabreu7/handson_reservoir
• Owner: stevenabreu7
• License: mit
• Created: 2021-12-15T10:57:24.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2023-03-22T09:32:54.000Z (about 3 years ago)
• Last Synced: 2025-03-27T19:54:19.218Z (about 1 year ago)
• Topics: machine-learning, physical-computing, reservoir, reservoir-computing, tutorial
• Language: Jupyter Notebook
• Homepage: https://iopscience.iop.org/article/10.1088/2634-4386/ac7db7/meta
• Size: 7.56 MB
• Stars: 27
• Watchers: 4
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 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](https://iopscience.iop.org/article/10.1088/2634-4386/ac7db7/meta).

Please see the [handson_tutorial](./handson_tutorial.ipynb) 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](./reservoir.py) Python script) as a stand-in for a physical reservoir. The tutorial uses the [Iris dataset](https://en.wikipedia.org/wiki/Iris_flower_data_set) which can be downloaded via the [UCI ML Repository](https://archive-beta.ics.uci.edu/ml/datasets/iris) or via [Kaggle](https://www.kaggle.com/datasets/uciml/iris) (registration may be required). It is already available as a [CSV file](./iris.csv) in this repository.