Barlow_Twins_EEG
importedsoftware/barlow-twins-eeg
[IEEE Access] A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/dlcjfgmlnasa/Barlow_Twins_EEG
- Documentation
- unknown
- Tags
- eeg · motor-imagery · self-supervised-learning
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- aawedhaeeg · motor-imagery
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
- AugmentBraineeg · motor-imagery
In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named…
- channel_selectioneeg · motor-imagery
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
- EEG-ATCNeteeg · motor-imagery
Attention temporal convolutional network for EEG-based motor imagery classification
- eeg-rseneteeg · motor-imagery
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
- EEGResearchHubeeg · motor-imagery
A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
- api.github.com/repos/dlcjfgmlnasa/Barlow_Twins_EEGretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-02-16, 12 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
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