Muse-Analysis-Tools
importedsoftware/muse-analysis-tools
A set of tools to analyze and create charts from Muse EEG devices.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- eeg · eeg-analysis · eeg-classification · eeg-headband · eeg-signals-processing · muse-headband
- 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.
- LucidLinkeeg · eeg-headband · muse-headband
Lucid dreaming tools: dream journal, random-voice-prompt engine, user scripts
- Eegle.jleeg · eeg-analysis · eeg-classification · eeg-signals-processing
A Julia integrative package for EEG data analysis and machine learning
- electroCUDAeeg · eeg-analysis · eeg-classification · eeg-signals-processing
Robust electrophysiology tools with GPU acceleration
- 3.eeg_recognationeeg · eeg-analysis · eeg-classification · eeg-signals-processing
Machine learning for Anonymous detection of an alcoholic by EEG signals
- muse-jseeg · eeg-headband
Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)
- eeg_mi_dleeg · eeg-classification · eeg-signals-processing
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning…
- api.github.com/repos/digital-cinema-arts/Muse-Analysis-Toolsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-01-13, 42 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/38.json→ .entries["muse-analysis-tools"]
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