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EEGformer

imported

software/eegformer

Unofficial implementation of EEGformer in pytorch

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

EEGformer project image
GitHub preview card for FENRlR/EEGformer. 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
eeg · eeg-classification
Regulatory
unknown
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.

  • arl-eegmodelseeg · eeg-classification

    This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

  • AttnSleepeeg · eeg-classification

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

  • bcieeg · eeg-classification

    Framework for P300 wave detection and noise-based cyberattacks in Brain-Computer Interfaces - Enrique Tomás Martínez Beltrán

  • CSP-Pythoneeg · eeg-classification

    Python implementation of the CSP algorithm

  • CTNAS-EEGeeg · eeg-classification

    Code for Cross-Task Neural Architecture Search for EEG Signals

  • EEG-BayesianCNNeeg · eeg-classification

    This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

sources
  1. api.github.com/repos/FENRlR/EEGformer
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-10, 24 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/25.json→ .entries["eegformer"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.