Pyeegpipeline
A complete pipeline for reading preprocessing and classification of EEG data using different statistical ML models and different deep Learning models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pyprep | 106 |  | 1 | 4 months ago | 11 | October 27, 2023 | 19 | mit | Python | |
| A Python implementation of the Preprocessing Pipeline (PREP) for EEG data | ||||||||||
| Automaticanalysis | 70 | 4 months ago | 39 | mit | MATLAB | |||||
| Automatic Analysis (aa) | ||||||||||
| Pymuse | 45 | 5 years ago | 2 | mit | Python | |||||
| Python tools associated with Muse headband | ||||||||||
| Connectomemapper3 | 39 | 2 years ago | 5 | October 25, 2022 | 15 | other | HTML | |||
| Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices. | ||||||||||
| Conpy | 33 | 7 months ago | 5 | bsd-3-clause | Python | |||||
| Python package for power mapping and functional connectivity using DICS | ||||||||||
| Beapp | 33 | 5 months ago | 3 | other | MATLAB | |||||
| The Batch Electroencephalography Automated Processing Platform (BEAPP) | ||||||||||
| Neuxus | 15 | 10 months ago | 2 | July 30, 2020 | gpl-3.0 | Python | ||||
| BCI/NF real-time processing and classification pipeline | ||||||||||
| Made Eeg Preprocessing Pipeline | 12 | 6 months ago | MATLAB | |||||||
| Pyeegpipeline | 10 | 5 years ago | Python | |||||||
| A complete pipeline for reading preprocessing and classification of EEG data using different statistical ML models and different deep Learning models | ||||||||||
| Eeg_to_erp_pipeline_stats_r | 9 | 5 months ago | 2 | mit | MATLAB | |||||
| General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models) | ||||||||||
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Python
Machine Learning
Pipeline
Eeg