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NeuroScope

imported

software/neuroscope

🔍 Visualize and analyze neural network execution in real-time for PyTorch, TensorFlow, and JAX. Enhance model insight with performance profiling and gradient tracking.

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

NeuroScope project image
GitHub preview card for Zbezz-git/NeuroScope. 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
Documentation
unknown
Tags
biosignals · bugbounty-tool · containers · crawler · ecg · eeg · entropy · eog · heart-rate · kubernetes · neural-networks · physiology · ppg · python · signal-processing · software · subdomain-enumeration · tutorial
Regulatory
unknown
similar by tags

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    NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

  • NeuroKit.pybiosignals · ecg · eeg · entropy

    A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

  • meae-heart-rate-extraction-from-noisy-ppgbiosignals · ecg · ppg · signal-processing

    Official repository for "Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram".

  • phyaateeg · heart-rate · physiology · ppg

    PhyAAt: Physiology of Auditory Attention - Processing Library

  • entropybiosignals · eeg · entropy

    EntroPy: complexity of time-series in Python (DEPRECATED)

  • brainflowbiosignals · ecg · eeg · signal-processing

    BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

sources
  1. api.github.com/repos/Zbezz-git/NeuroScope
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 3 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/24.json→ .entries["neuroscope"]

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