deepsleepnet
importedsoftware/deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/akaraspt/deepsleepnet
- Documentation
- unknown
- Tags
- biosignals · cnn · deep-learning · eeg · lstm · neural-network · scoring-sleep-stages · sleep
- 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.
- tinysleepnetbiosignals · cnn · eeg
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College…
- AccuSleepeeg · sleep
Automatically score rodent sleep using EEG and EMG recordings
- wonambieeg · sleep
Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.
- lstm-qrs-detectorcnn · lstm
CNN-LSTM based QRS detector for ECG signals
- elata-bio-sdkbiosignals · eeg
Elata SDK is the cross-platform biosignal toolkit for building neurotechnology and remote biosensing apps on web and native.
- entropybiosignals · eeg
EntroPy: complexity of time-series in Python (DEPRECATED)
- api.github.com/repos/akaraspt/deepsleepnetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-19, 492 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/21.json→ .entries["deepsleepnet"]
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