akaraspt / tinysleepnet

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 London respectively

Date Created 2020-11-05 (4 years ago)

Commits 8 (last one about a year ago)

Stargazers 128 (0 this week)

Watchers 7 (0 this week)

Forks 45

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these akaraspt/tinysleepnet is ranked #248,652 (58th percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,657/119,431.

akaraspt/tinysleepnet is also tagged with popular topics, for these it's ranked: deep-learning (#4,482/8512), tensorflow (#1,327/2255), neural-networks (#405/728), cnn (#260/556), eeg (#55/131)

Other Information

akaraspt/tinysleepnet has Github issues enabled, there are 4 open issues and 5 closed issues.

All Topics

cnn eeg rnn biosignals tensorflow deep-learning sleep-analysis neural-networks sleep-stage-scoring

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1 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-17 @ 06:35pm, id: 310185554 / R_kgDOEn0OUg