PlasmaControl / PyRCN
A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
Why this job: matched by what the repo talks about: compatible, api, learn, framework
What it does
PyRCN ("Python Reservoir Computing Networks") is a light-weight and transparent Python 3 framework for Reservoir Computing and is based on widely used scientific Python packages, such as numpy or scipy. The API is fully scikit-learn-compatible, so that users of scikit-learn do not need to refactor their code in order to use the estimators implemented by this framework. Scikit-learn's built-in parameter optimization methods and example datasets can also be used in the usual way.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 100
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.1.0
- Released 3 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 86% closed
- 4 still open
- Pull requests
- 30 merged
- 0 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 99%
- CSS 1%
Topics
- echo-state-network
- extreme-learning-machine
- machine-learning
- reservoir-computing
- scikit-learn
Project record
- JobModel gateways
- StatusListed
- Commits800
- Forks20
- Watching8
- Stars in 28 days0
- CreatedJul 14, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026