aeon-neuro is package that unifies techniques for the classification of EEG time
series. Our goal is to present a simple and unified interface to a variety of EEG
classification problems that combine techniques from a range of domains that learn
from EEG signals.
We aim to develop this package following the principles of open science, and reproducible research, as described in the Turing Way and this package is based on this template.
aeon-neuro is a companion package to the aeon toolkit. The main project webpage
and documentation is available at https://aeon-toolkit.org and the source code at
https://github.com/aeon-toolkit/aeon.
The initial aeon-neuro release is v0.0.1.
Our webpage and documentation is available at https://aeon-neuro.readthedocs.io.
| Overview | |
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| CI/CD |       |
| Code |      |
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aeon-neuro requires a Python version of 3.9 or greater. Our full installation guide is available in our documentation.
The easiest way to install aeon-neuro is via pip:
pip install aeon-neuroSome estimators require additional packages to be installed. If you want to install the full package with all optional dependencies, you can use:
pip install aeon-neuro[all_extras]Instructions for installation from the GitHub source can be found here.
| Type | Platforms |
|---|---|
| 🐛 Bug Reports | GitHub Issue Tracker |
| ✨ Feature Requests & Ideas | GitHub Issue Tracker & Slack |
| 💻 Usage Questions | GitHub Discussions & Slack |
| 💬 General Discussion | GitHub Discussions & Slack |
| 🏭 Contribution & Development | Slack |
This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) EP/W030756/2