pyprep
importedsoftware/pyprep
PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- pyprep.readthedocs.io/en/latest/
- Repository
- github.com/sappelhoff/pyprep
- Documentation
- unknown
- Tags
- artifact · data · eeg · electroencephalogaphy · mne · neuroimaging · neuroscience · preprocessing
- 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.
- DL-EEGeeg · mne · neuroimaging · neuroscience
A Deep Learning Library for State-Based EEG Analysis
- eeg_eyetracking_parserdata · eeg · mne
Python routines for parsing of combined EEG and eye-tracking data
- eegfmri-matlabartifact · eeg
Cleans EEG data that is contaminated with gradient and ballistocardiogram (BCG) artifacts from the fMRI
- aperoneuroimaging · neuroscience · preprocessing
A preprocessing pipeline builder for neuroimaging data.
- spm-hospital-preprocneuroimaging · neuroscience · preprocessing
A MATLAB toolbox for various preprocessing operations (registration, reslicing, denoising, segmentation, etc.) of neuroimaging data. Builds on the SPM12 software.
- mne-bidseeg · mne · neuroimaging
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
- api.github.com/repos/sappelhoff/pyprepretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-27, 182 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/1.json→ .entries["pyprep"]
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