amrzhd/EEG-MSCNN
This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals
No commits in the last 6 months.
Stars
78
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 11, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/amrzhd/EEG-MSCNN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
NeuroTechX/moabb
Mother of All BCI Benchmarks
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
neuromodulation/py_neuromodulation
Real-time analysis of intracranial neurophysiology recordings.
SheepTAO/dpeeg
Deep Learning with EEG.