# eeyhsong/EEG-Transformer

<https://repo.masters-masters.com/en/repos/eeyhsong/EEG-Transformer>

[Home](https://repo.masters-masters.com/en) › [eeyhsong](https://repo.masters-masters.com/en/owners/eeyhsong) › [EEG-Transformer](https://repo.masters-masters.com/en/repos/eeyhsong/EEG-Transformer)

eeyhsong/EEG-Transformer has 337 stars on GitHub. Its RepoMasters card: Alpha tier. i. A practical application of Transformer (ViT) on 2-D physiological…

| Field | Value |
| --- | --- |
| Owner | [eeyhsong](https://repo.masters-masters.com/en/owners/eeyhsong) |
| Stars | 337 |
| Forks | 43 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2021 |
| Topics | deep-learning, attention-mechanism, vit, transformer, attention, common-spatial-pattern, eeg, eeg-classification, physiological-signals |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [eeyhsong/EEG-Transformer](https://github.com/eeyhsong/EEG-Transformer) |

## Repository

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and \*temporal dimension\*. iii. Common spatial pattern (CSP), an efficient feature…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by eeyhsong

- [eeyhsong/EEG-Conformer · ★ 768 · Python · Beta](https://repo.masters-masters.com/en/repos/eeyhsong/EEG-Conformer)
- [eeyhsong/NICE-EEG · ★ 220 · Python · Prototype](https://repo.masters-masters.com/en/repos/eeyhsong/NICE-EEG)

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