Hossein-Eskandari-a/Emotion-recognition-DEAP-LSTM-SHAP
Emotion recognition using EEG data. Based on DEAP dataset using LSTM as model and SHAP for explainability.
No commits in the last 6 months.
Stars
3
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Hossein-Eskandari-a/Emotion-recognition-DEAP-LSTM-SHAP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NeuroTechX/moabb
Mother of All BCI Benchmarks
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
neuromodulation/py_neuromodulation
Real-time analysis of intracranial neurophysiology recordings.
IoBT-VISTEC/MIN2Net
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE...