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AttnSleep

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software/attnsleep

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

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

AttnSleep project image
GitHub preview card for emadeldeen24/AttnSleep. 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 · eeg · eeg-classification · pytorch · self-attention · sleep-stage-classification · sleep-stage-scoring · sleep-staging
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.

  • CountingSheepPSGeeg · sleep-stage-scoring · sleep-staging

    EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.

  • NeuroNeteeg · sleep-stage-classification · sleep-stage-scoring

    [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG

  • ADASTeeg · self-attention · sleep-stage-classification

    [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

  • EEG-Transformerattention · eeg · eeg-classification

    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…

  • Brainwaveattention · eeg · pytorch

    Brainwave is a state-of-the-art neural decoder that transforms electroencephalogram (EEG) and brain signals into multimodal outputs including images, videos, and text.

  • tinysleepneteeg · sleep-stage-scoring

    TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College…

sources
  1. api.github.com/repos/emadeldeen24/AttnSleep
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-09-26, 280 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/17.json→ .entries["attnsleep"]

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