NeuroScope
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- zbezz-git.github.io
- Repository
- github.com/Zbezz-git/NeuroScope
- 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
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- NeuroKitbiosignals · ecg · eeg · entropy · eog
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
- api.github.com/repos/Zbezz-git/NeuroScoperetrieved 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 →
/v1/entries/24.json→ .entries["neuroscope"]
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