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selfEEG

imported

software/selfeeg

selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
MedMaxLab
Country
unknown
Documentation
unknown
Tags
deep-learning · eeg · self-supervised-learning
Regulatory
unknown
built by · 5

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.

  • NeuroNeteeg · self-supervised-learning

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

  • NICE-EEGeeg · self-supervised-learning

    [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.

  • CineMAself-supervised-learning

    A Vision Foundation Model for Cine Cardiac Magnetic Resonance Imaging

  • DeepVIDv2self-supervised-learning

    DeepVID v2: Self-Supervised Denoising with Decoupled Spatiotemporal Enhancement for Low-Photon Voltage Imaging

  • femrself-supervised-learning

    FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records

  • Hi-End-MAEself-supervised-learning

    [MedIA 2026] Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation

sources
  1. api.github.com/repos/MedMaxLab/selfEEG
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-04, 75 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/42.json→ .entries["selfeeg"]

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