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EEGUnity

imported

data/eegunity

An open source tool for large-scale EEG datasets processing

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

EEGUnity project image
GitHub preview card for Baizhige/EEGUnity. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
dataset-manager · eeg · eeg-dataset · eeg-signals-processing · large-dataset · large-language-model · large-multimodal-models · python-library
Regulatory
unknown
built by · 3

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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  • hu-neuro-pipelineeeg · eeg-signals-processing · python-library

    Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin

  • phyaateeg · eeg-dataset

    PhyAAt: Physiology of Auditory Attention - Processing Library

  • Sans-Tracaseeg · eeg-dataset

    An Interactive Cross-Platform tool to run Online EEG Experiments using Web-Bluetooth and the Muse EEG headset.

  • Dataset Overview The NMT Scalp EEG Dataset is an open source collection of 2,417 anonymised scalp electroencephalogram recordings obtained from unique participants. The collection contains…

  • DrugGenlarge-language-model

    DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback

sources
  1. api.github.com/repos/Baizhige/EEGUnity
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-19, 76 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.

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machine-readable

/v1/entries/61.json→ .entries["eegunity"]

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