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https://github.com/aeon-toolkit/aeon-neuro

A package for EEG time series classification built on the aeon toolkit.

https://github.com/aeon-toolkit/aeon-neuro

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 8 committers (12.5%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.8%) to scientific vocabulary

Keywords from Contributors

data-mining time-series-anomaly-detection time-series-classification time-series-clustering time-series-regression time-series-segmentation interactive projection sequences benchmarking
Last synced: 10 months ago · JSON representation

Repository

A package for EEG time series classification built on the aeon toolkit.

Basic Info
Statistics
  • Stars: 22
  • Watchers: 6
  • Forks: 7
  • Open Issues: 22
  • Releases: 2
Created over 3 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License Code of conduct

README.md

aeon logo

Welcome to aeon-neuro

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 aeon-neuro release is v0.0.2.

Our webpage and documentation is available at https://aeon-neuro.readthedocs.io.

| Overview | | |---------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | CI/CD | github-actions-release github-actions-main github-actions-nightly docs-main docs-main !codecov | | Code | !pypi !conda !python-versions !black license | | Community | !slack !slack-aeon !linkedin !twitter |

Installation

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:

bash pip install aeon-neuro

Some estimators require additional packages to be installed. If you want to install the full package with all optional dependencies, you can use:

bash pip install aeon-neuro[all_extras]

Instructions for installation from the GitHub source can be found here.

Where to ask questions

| 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 |

Acknowledgements

This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) EP/W030756/2

Owner

  • Name: aeon
  • Login: aeon-toolkit
  • Kind: organization
  • Email: contact@aeon-toolkit.org

A toolkit for conducting machine learning tasks with time series data

GitHub Events

Total
  • Create event: 23
  • Release event: 1
  • Issues event: 4
  • Watch event: 12
  • Delete event: 17
  • Issue comment event: 14
  • Push event: 70
  • Pull request event: 36
  • Pull request review event: 7
  • Fork event: 1
Last Year
  • Create event: 23
  • Release event: 1
  • Issues event: 4
  • Watch event: 12
  • Delete event: 17
  • Issue comment event: 14
  • Push event: 70
  • Pull request event: 36
  • Pull request review event: 7
  • Fork event: 1

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 81
  • Total Committers: 8
  • Avg Commits per committer: 10.125
  • Development Distribution Score (DDS): 0.778
Past Year
  • Commits: 23
  • Committers: 6
  • Avg Commits per committer: 3.833
  • Development Distribution Score (DDS): 0.652
Top Committers
Name Email Commits
Matthew Middlehurst p****u@g****m 18
dependabot[bot] 4****] 14
Tony Bagnall a****b@u****k 14
Gabriel Riegner 5****r 12
aeon-actions-bot[bot] 1****] 11
AidenRushbrooke 7****e 10
Futuer 5****d 1
Flow 8****w 1
Committer Domains (Top 20 + Academic)
uea.ac.uk: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 27
  • Total pull requests: 111
  • Average time to close issues: 26 days
  • Average time to close pull requests: 14 days
  • Total issue authors: 5
  • Total pull request authors: 8
  • Average comments per issue: 0.63
  • Average comments per pull request: 0.83
  • Merged pull requests: 74
  • Bot issues: 0
  • Bot pull requests: 54
Past Year
  • Issues: 4
  • Pull requests: 36
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 24 days
  • Issue authors: 2
  • Pull request authors: 6
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.64
  • Merged pull requests: 19
  • Bot issues: 0
  • Bot pull requests: 17
View more stats
Top Authors
Issue Authors
  • TonyBagnall (16)
  • griegner (7)
  • MatthewMiddlehurst (3)
  • AidenRushbrooke (2)
  • hadifawaz1999 (1)
Pull Request Authors
  • dependabot[bot] (58)
  • griegner (26)
  • aeon-actions-bot[bot] (25)
  • MatthewMiddlehurst (22)
  • TonyBagnall (19)
  • futuer-szd (11)
  • AidenRushbrooke (6)
  • Flow-Glow (2)
Top Labels
Issue Labels
enhancement (14) documentation (7) maintenance (5) bug (3) datasets (2) good first issue (1) release (1)
Pull Request Labels
maintenance (100) dependencies (29) enhancement (25) full pre-commit (24) documentation (14) examples (13) bug (6) release (4) datasets (4) transformers (3)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 36 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 2
pypi.org: aeon-neuro

A package for ECG and EEG time series analysis built on the aeon toolkit.

  • Homepage: https://www.aeon-toolkit.org
  • Documentation: https://aeon-neuro.readthedocs.io/
  • License: BSD 3-Clause License Copyright (c) The aeon developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  • Latest release: 0.0.1
    published almost 2 years ago
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 36 Last month
Rankings
Dependent packages count: 10.6%
Average: 35.2%
Dependent repos count: 59.9%
Maintainers (2)
MMiddlehurst TonyBagnall
Last synced: 10 months ago

Dependencies

.github/workflows/periodic_tests.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • codecov/codecov-action v3 composite
  • nick-fields/retry v2 composite
  • pre-commit/action v3.0.0 composite
.github/workflows/pr_examples.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • nick-fields/retry v2 composite
.github/workflows/pr_opened.yml actions
  • actions/checkout v4 composite
  • actions/create-github-app-token v1 composite
  • actions/setup-python v5 composite
.github/workflows/pr_precommit.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • pre-commit-ci/lite-action v1.0.1 composite
  • pre-commit/action v3.0.0 composite
  • tj-actions/changed-files v42.0.2 composite
.github/workflows/pr_pytest.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • codecov/codecov-action v3 composite
  • nick-fields/retry v2 composite
.github/workflows/precommit_autoupdate.yml actions
  • actions/checkout v4 composite
  • actions/create-github-app-token v1 composite
  • actions/setup-python v5 composite
  • browniebroke/pre-commit-autoupdate-action v1.0.0 composite
  • peter-evans/create-pull-request v5 composite
.github/workflows/release.yml actions
  • actions/checkout v4 composite
  • actions/download-artifact v4 composite
  • actions/setup-python v5 composite
  • actions/upload-artifact v4 composite
  • nick-fields/retry v2 composite
  • pre-commit/action v3.0.0 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/update_contributors.yml actions
  • actions/checkout v4 composite
  • actions/create-github-app-token v1 composite
  • actions/setup-node v4 composite
  • peter-evans/create-pull-request v5 composite
pyproject.toml pypi
  • aeon <=0.6.0
  • mne *
  • pyprep *