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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero0250500Apr 26Nov 4, 2026Mikoto10032/DeepLearningguillaume-chevalier/LSTM-Human-Activity-Recognition
Stars: The star count at the end of each dayStarsThe star count at the end of each day10KApr 25Nov 4, 2026Mikoto10032/DeepLearningguillaume-chevalier/LSTM-Human-Activity-Recognition

Facts

FactMikoto10032/DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

guillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Stars17,8763,490
Net stars, last 30 days+84+5
Largest star day+9 on Jun 23, 2026+1 on Apr 29, 2026
Milestone reached in the recordNoneNone
Forks3,881928
LanguageJupyter NotebookJupyter Notebook
LicenseAPACHE-2.0MIT
CreatedApr 9, 2018May 18, 2016
Last pushApr 21, 2022Nov 6, 2022
ArchivedNoNo
Health facts: Maintenance1 of 4 checks1 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (1 without data)0 of 3 checks (2 without data)
Health facts: Security practice0 of 1 check0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks0No data
Weeks with commits, last 520 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: rnn, machine-learning, tensorflow, deep-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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