braindecode

Deep learning software to decode EEG, ECG or MEG signals

https://github.com/braindecode/braindecode

Science Score: 59.0%

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

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CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 7 DOI reference(s) in README
✓
Academic publication links
Links to: frontiersin.org
✓
Committers with academic emails
8 of 52 committers (15.4%) from academic institutions
○
Institutional organization owner
○
JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (15.6%) to scientific vocabulary

Keywords

deep-learning ecog eeg electrocorticography electroencephalogram electroencephalography magnetoencephalography meg neuroimaging neuroscience python pytorch

Keywords from Contributors

bci bci-benchmarks brain-computer-interface wasserstein-barycenter domain-adaptation bids sklearn data-shift wasserstein-discriminant-analysis wasserstein

Last synced: 6 months ago · JSON representation

Repository

Deep learning software to decode EEG, ECG or MEG signals

Basic Info

Host: GitHub
Owner: braindecode
License: bsd-3-clause
Language: Python
Default Branch: master
Homepage: https://braindecode.org/
Size: 17.6 MB

Statistics

Stars: 990
Watchers: 20
Forks: 220
Open Issues: 81
Releases: 8

Topics

deep-learning ecog eeg electrocorticography electroencephalogram electroencephalography magnetoencephalography meg neuroimaging neuroscience python pytorch

Created about 6 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing License

README.rst

.. image:: https://badges.gitter.im/braindecodechat/community.svg
   :alt: Join the chat at https://gitter.im/braindecodechat/community
   :target: https://gitter.im/braindecodechat/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge

.. image:: https://github.com/braindecode/braindecode/workflows/docs/badge.svg
   :target: https://github.com/braindecode/braindecode/actions

.. image:: https://circleci.com/gh/braindecode/braindecode.svg?style=svg
   :target: https://circleci.com/gh/braindecode/braindecode
   :alt: Doc build on CircleCI

.. image:: https://codecov.io/gh/braindecode/braindecode/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/braindecode/braindecode
   :alt: Code Coverage

.. |Braindecode| image:: https://user-images.githubusercontent.com/42702466/177958779-b00628aa-9155-4c51-96d1-d8c345aff575.svg
.. _braindecode: braindecode.org/

Braindecode
===========

Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain
data with deep learning models. It includes dataset fetchers, data preprocessing and
visualization tools, as well as implementations of several deep learning
architectures and data augmentations for analysis of EEG, ECoG and MEG.

For neuroscientists who want to work with deep learning and
deep learning researchers who want to work with neurophysiological data.


Installation Braindecode
========================

1. Install pytorch from http://pytorch.org/ (you don't need to install torchvision).

2. If you want to download EEG datasets from `MOABB `_, install it:

.. code-block:: bash

  pip install moabb

3. Install latest release of braindecode via pip:

.. code-block:: bash

  pip install braindecode

If you want to install the latest development version of braindecode, please refer to `contributing page `__


Documentation
=============

Documentation is online under https://braindecode.org, both in the stable and dev versions.


Contributing to Braindecode
===========================

Guidelines for contributing to the library can be found on the braindecode github:

https://github.com/braindecode/braindecode/blob/master/CONTRIBUTING.md

Braindecode chat
================

https://gitter.im/braindecodechat/community

Citing
======

If you use this code in a scientific publication, please cite us as:

.. code-block:: bibtex

  @article {HBM:HBM23730,
  author = {Schirrmeister, Robin Tibor and Springenberg, Jost Tobias and Fiederer,
    Lukas Dominique Josef and Glasstetter, Martin and Eggensperger, Katharina and Tangermann, Michael and
    Hutter, Frank and Burgard, Wolfram and Ball, Tonio},
  title = {Deep learning with convolutional neural networks for EEG decoding and visualization},
  journal = {Human Brain Mapping},
  issn = {1097-0193},
  url = {http://dx.doi.org/10.1002/hbm.23730},
  doi = {10.1002/hbm.23730},
  month = {aug},
  year = {2017},
  keywords = {electroencephalography, EEG analysis, machine learning, end-to-end learning, brain–machine interface,
    brain–computer interface, model interpretability, brain mapping},
  }

as well as the `MNE-Python `_ software that is used by braindecode:

.. code-block:: bibtex

  @article{10.3389/fnins.2013.00267,
  author={Gramfort, Alexandre and Luessi, Martin and Larson, Eric and Engemann, Denis and Strohmeier, Daniel and Brodbeck, Christian and Goj, Roman and Jas, Mainak and Brooks, Teon and Parkkonen, Lauri and Hämäläinen, Matti},
  title={{MEG and EEG data analysis with MNE-Python}},
  journal={Frontiers in Neuroscience},
  volume={7},
  pages={267},
  year={2013},
  url={https://www.frontiersin.org/article/10.3389/fnins.2013.00267},
  doi={10.3389/fnins.2013.00267},
  issn={1662-453X},
  }




Licensing
^^^^^^^^^

This project is primarily licensed under the BSD-3-Clause License.

Additional Components
~~~~~~~~~~~~~~~~~~~~~

Some components within this repository are licensed under the Creative Commons Attribution-NonCommercial 4.0 International
License.

Please refer to the ``LICENSE`` and ``NOTICE`` files for more detailed
information.

Owner

Name: Braindecode
Login: braindecode
Kind: organization

Website: https://braindecode.org/
Repositories: 3
Profile: https://github.com/braindecode

Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models.

GitHub Events

Total

Create event: 8
Release event: 1
Issues event: 54
Watch event: 203
Delete event: 7
Issue comment event: 216
Push event: 95
Pull request review event: 118
Pull request review comment event: 129
Pull request event: 125
Fork event: 42

Last Year

Create event: 8
Release event: 1
Issues event: 54
Watch event: 203
Delete event: 7
Issue comment event: 216
Push event: 95
Pull request review event: 118
Pull request review comment event: 129
Pull request event: 125
Fork event: 42

Committers

Last synced: over 2 years ago

All Time

Total Commits: 1,541
Total Committers: 52
Avg Commits per committer: 29.635
Development Distribution Score (DDS): 0.68

Past Year

Commits: 332
Committers: 24
Avg Commits per committer: 13.833
Development Distribution Score (DDS): 0.383

Top Committers

Name	Email	Commits
Robin Tibor Schirrmeister	r**r@g**m	493
bruAristimunha	a**o@a**r	273
Alexandre Gramfort	a**t@m**g	113
Cédric Rommel	c**l@g**m	97
Lukas	l**n@g**m	96
Hubert Banville	h**e@g**m	90
Maciej Sliwowski	m**i@g**m	59
gemeinl	l**n@g**e	46
Lukas Alexander Wilhelm Gemein	g**l@i**e	42
Simon Brandt	s**t@p**m	25
Dan Laptop	d**l@g**m	25
gemeinl	g****l	21
Sylvain Chevallier	s**r@u**r	13
Sylvain Chevallier	s**r@u**r	12
PierreGtch	2****h	10
eeyhsong	e**g@g**l	9
Kay Gregor Hartmann	h**k@i**e	9
Joseph Paillard	j**d@i**r	9
tomMoral	t**0@g**m	8
brunalopes	b**l@u**r	7
dcwil	3****l	7
Sara04	s**r@g**m	6
maciej	m**8@w**l	6
Marco	m**o@4**m	6
Tgnassou	6****u	6
19paillard	j**d@m**r	5
Tgnassou	t**u@g**m	4
Lukas Gemein	l**n@g**m	4
Matthieu Terris	m**s@g**m	3
Theo Gnassounou	t**u@d**r	3
and 22 more...

Committer Domains (Top 20 + Academic)

informatik.uni-freiburg.de: 3 universite-paris-saclay.fr: 2 aluno.ufabc.edu.br: 1 m4x.org: 1 gmx.de: 1 uvsq.fr: 1 inria.fr: 1 usp.br: 1 wp.pl: 1 42matters.com: 1 mines-paristech.fr: 1 drago5.saclay.inria.fr: 1 bjareho.lt: 1 pop-os.localdomain: 1 gitter.im: 1 thodoris.net: 1 donders.ru.nl: 1 qq.com: 1 too.gy: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 168
Total pull requests: 360
Average time to close issues: 8 months
Average time to close pull requests: 24 days
Total issue authors: 54
Total pull request authors: 37
Average comments per issue: 2.55
Average comments per pull request: 3.24
Merged pull requests: 268
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 32
Pull requests: 183
Average time to close issues: 8 days
Average time to close pull requests: 13 days
Issue authors: 9
Pull request authors: 13
Average comments per issue: 0.78
Average comments per pull request: 2.14
Merged pull requests: 126
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

bruAristimunha (39)
robintibor (26)
PierreGtch (16)
gemeinl (9)
martinwimpff (6)
itsaphel (5)
dungscout96 (4)
MohammadJavadD (3)
brunaafl (3)
Buddies-as-you-know (3)
CamiloMartinezM (3)
OverLordGoldDragon (3)
h1deOnBush (2)
bokey007 (2)
dcwil (2)

Pull Request Authors

bruAristimunha (200)
PierreGtch (47)
OverLordGoldDragon (9)
robintibor (8)
itsaphel (8)
MohammadJavadD (7)
gemeinl (7)
tgnassou (6)
cedricrommel (6)
tomMoral (5)
sylvchev (5)
lucas-heck (4)
gustavohenriquesr (4)
dcwil (4)
Sara04 (3)

Top Labels

Issue Labels

sprint (30) intermediate (13) enhancement (13) documentation (11) bug (10) question (9) basic (8) code-improvement (6) advanced (6) help wanted (1) good first issue (1)

Pull Request Labels

no changelog (13) filterbank models (10) model with channel information (2) sprint (1) wip (1) documentation (1)

Packages

Total packages: 1
Total downloads:
- pypi 11,503 last-month

Total dependent packages: 2
Total dependent repositories: 15
Total versions: 69
Total maintainers: 3

pypi.org: braindecode

Deep learning software to decode EEG, ECG or MEG signals

Documentation: https://braindecode.readthedocs.io/
License: BSD-3-Clause
Latest release: 1.2.0
published 6 months ago

Versions: 69
Dependent Packages: 2
Dependent Repositories: 15
Downloads: 11,503 Last month

Rankings

Dependent packages count: 3.2%

Dependent repos count: 3.7%

Average: 3.9%

Downloads: 4.8%

Maintainers (3)

agramfort bruAristimunha robintibor

Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi

ipython *
memory_profiler *
numpydoc *
pillow *
sphinx_gallery *
sphinx_rtd_theme *

.github/workflows/link-to-doc.yaml actions

larsoner/circleci-artifacts-redirector-action master composite

.github/workflows/docs.yml actions

actions/cache v3 composite
actions/checkout v4 composite
actions/setup-python v4 composite
actions/upload-artifact v2 composite
peaceiris/actions-gh-pages v3 composite

.github/workflows/push-artifact-to-circleci.yml actions

.github/workflows/tests.yml actions

actions/cache v3 composite
actions/checkout v4 composite
actions/setup-python v4 composite
codecov/codecov-action v3 composite

.github/workflows/whats-new.yml actions

docs/_static/versions.json meteor

pyproject.toml pypi

docstring_inheritance *
einops *
h5py *
joblib *
matplotlib *
mne *
numpy *
pandas *
scipy *
skorch *
torch *
torchinfo *

.github/workflows/pre-commit.yaml actions

actions/checkout v3 composite
actions/setup-python v3 composite
pre-commit/action v3.0.0 composite

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Open Source Science

braindecode

Science Score: 59.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.rst

Owner

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

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Packages

pypi.org: braindecode

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Maintainers (3)

Dependencies