python-meegkit
importedsoftware/python-meegkit
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- nbara.github.io/python-meegkit/
- Repository
- github.com/nbara/python-meegkit
- Documentation
- unknown
- Tags
- binder-ready · cca · denoising · dss · eeg · eeg-processing · meg · neuroscience
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- mne-denoisedss · eeg · neuroscience
mne-denoise provides narrow-band artefact removal tailored to MNE-Python workflows. It wraps harmonic regression techniques to suppress power-line noise and other oscillatory contaminants while…
- dreamwalkeeg-processing · neuroscience
Neural interface system that uses machine learning to decode brain signals and generate immersive virtual worlds. Combines EEG/fMRI processing, deep learning models, and real-time procedural…
- cornerstone_widgetbinder-ready
A jupyter widget for the cornerstone library to make showing flashy images with nice tools easier.
- reproduce-chexnetbinder-ready
Reproduce CheXNet
- analyse_OPMEGeeg · meg · neuroscience
Nic & Rob's lair of scripts to analyse OPM data, using the Fieldtrip toolbox
- AperiodicMethodseeg · meg · neuroscience
Evaluating methods for estimating aperiodic activity in electrophysiological data.
- api.github.com/repos/nbara/python-meegkitretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-01, 227 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/16.json→ .entries["python-meegkit"]
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