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eeg-transformer

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software/eeg-transformer-dav0dea

Analysis of Transformer attention in EEG signal classification

Machine-generated from the listed sources and not yet reviewed by a human.

eeg-transformer project image
GitHub preview card for dav0dea/eeg-transformer. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
attention-weights · eeg · transformer
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • EEG-Conformereeg · transformer

    [TNSRE 23] EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

  • EEG-Transformereeg · transformer

    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…

  • FATeeg · transformer

    FAT:A novel Fourier Adjacency Transformer for advanced EEG emotion recognition (MICCAI 2025))

  • Neuro-probeeeg · transformer

    🌌 Analyze and compare kernel behaviors across multiple emulators effortlessly with Neuro-Probe, the first tool for efficient OS development.

  • ssvepformereeg · transformer

    Pytorch implementation for a transformer-based model for SSVEP classifcation in EEG based Brain-Computer Interface (BCI)

sources
  1. api.github.com/repos/dav0dea/eeg-transformer
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-09-01, 48 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["eeg-transformer-dav0dea"]

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