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EEGRAPH

imported

software/eegraph

EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
ufvceiec
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
connectivity-measures · eeg · eeg-signals · graph · python
Regulatory
unknown
built by · 6

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.

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    The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.

  • EEG-pylineeeg · eeg-signals

    EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.

  • EEGMambaeeg · eeg-signals

    [Neural Networks 2025] EEGMamba: An EEG Foundation Model with Mamba

  • EEGNeteeg · eeg-signals

    This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

  • Museeeg · eeg-signals

    🎧 Muse - The brain sensing headband plus attention level

  • EEG-Dataset-Recordereeg · eeg-signals

    Python-based EEG data recorder and simulator for generating timestamped CSV datasets for research and machine learning.

sources
  1. api.github.com/repos/ufvceiec/EEGRAPH
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-13, 169 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/45.json→ .entries["eegraph"]

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