guillaume-chevalier / HAR-stacked-residual-bidir-LSTMs

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Date Created 2016-11-26 (7 years ago)

Commits 67 (last one about a year ago)

Stargazers 315 (0 this week)

Watchers 19 (0 this week)

Forks 98

License apache-2.0

Ranking

RepositoryStats indexes 523,840 repositories, of these guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs is ranked #119,491 (77th percentile) for total stargazers, and #113,321 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #19,835/100,813.

guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs is also tagged with popular topics, for these it's ranked: tensorflow (#850/2146)

Other Information

guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs has 1 open pull request on Github, 4 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 5 closed issues.

Homepage URL: https://arxiv.org/abs/1708.08989

All Topics

rnn lstm tensorflow stacked-layers residual-layers residual-lstm-cells bidirectional-lstm-cells human-activity-recognition

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2024-05-06 @ 06:07pm, id: 74831258 / R_kgDOBHXVmg