selfEEG
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- MedMaxLab
- Country
- unknown
- Repository
- github.com/MedMaxLab/selfEEG
- Documentation
- unknown
- Tags
- deep-learning · eeg · self-supervised-learning
- Regulatory
- unknown
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.
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
- api.github.com/repos/MedMaxLab/selfEEGretrieved 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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/v1/entries/42.json→ .entries["selfeeg"]
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