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NeuroFlow

imported

software/neuroflow

Full-stack real-time EEG analytics and device-ready BCI research platform

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

NeuroFlow project image
GitHub preview card for fish0976/NeuroFlow. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
biomedical-signal-processing · brain-computer-interface · eeg · fastapi · pytorch · websocket
Regulatory
unknown
built by · 1

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.

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    MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion. IEEE JBHI 2026.

  • EEGSpeechbrain-computer-interface · eeg · pytorch

    A brain-computer interface (BCI) for decoding speech phonemes from EEG signals using a hybrid CNN-LSTM model, with interactive Streamlit visualizations and Docker support.

  • spd_learnbrain-computer-interface · eeg · pytorch

    SPDlearn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization

  • ssvep-multi-task-learningbrain-computer-interface · eeg · pytorch

    Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free…

  • EEG-BCI-Carbrain-computer-interface · eeg · pytorch

    An EEG-based real-time brain-computer interface system for emergency vehicle takeover, integrating model training, offline inference, embedded hardware control, and GUI deployment.

sources
  1. api.github.com/repos/fish0976/NeuroFlow
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-28, 106 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/52.json→ .entries["neuroflow"]

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