Attnsleep
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Braindecode | 638 |  | 1 | 3 | 3 months ago | 49 | October 17, 2022 | 59 | bsd-3-clause | Python |
| Deep learning software to decode EEG, ECG or MEG signals | ||||||||||
| Attnsleep | 113 | 7 months ago | mit | Python | ||||||
| [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG" | ||||||||||
| Adatime | 77 | a year ago | mit | Python | ||||||
| [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data | ||||||||||
| Eegnet | 64 | 5 years ago | mit | Jupyter Notebook | ||||||
| [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf | ||||||||||
| Eeg Gcnn | 56 | 2 years ago | gpl-3.0 | Python | ||||||
| Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020. | ||||||||||
| Ssvep Multi Task Learning | 25 | 2 years ago | bsd-2-clause | Python | ||||||
| Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field. | ||||||||||
| Ssvep Neural Generative Models | 21 | 3 years ago | Python | |||||||
| Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification | ||||||||||
| Signal2image Modules In Deep Neural Networks For Eeg Classification | 19 | 3 months ago | 2 | mit | Python | |||||
| Beira | 11 | a year ago | Jupyter Notebook | |||||||
| BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data | ||||||||||
| Hfo Classification | 9 | 10 months ago | mit | MATLAB | ||||||
| HFO classification | ||||||||||
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