dpeeg and DeepEEG

Both tools are competitors, as they are independent deep learning frameworks for EEG signal processing, with one being more actively downloaded while the other has significantly more stars but no recent downloads.

dpeeg
50
Established
DeepEEG
48
Emerging
Maintenance 2/25
Adoption 7/25
Maturity 25/25
Community 16/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 25
Forks: 6
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 281
Forks: 60
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
Stale 6m No Package No Dependents

About dpeeg

SheepTAO/dpeeg

Deep Learning with EEG.

This tool helps researchers and neuroscientists analyze Electroencephalography (EEG) data using deep learning. You can input raw or preprocessed EEG datasets and configure various neural network models. The output provides trained models and detailed experimental results, helping you understand brain activity patterns or classify mental states.

neuroscience research EEG analysis brain-computer interfaces cognitive science biomedical signal processing

About DeepEEG

kylemath/DeepEEG

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

DeepEEG helps neuroscience researchers and practitioners analyze Electroencephalography (EEG) data. You feed it raw EEG recordings or pre-processed EEG trials, and it outputs predictions classifying the brain activity into categories. This is useful for anyone studying brain responses to stimuli or looking to build models to distinguish different brain states.

neuroscience EEG-analysis brain-computer-interfaces cognitive-science biomedical-signal-processing

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