lin-shuyu / VAE-LSTM-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

lin-shuyu
lin-shuyu
Date Created 2020-02-13 (5 years ago)
Commits 43 (last one 4 years ago)
Stargazers 510 (0 this week)
Watchers 8 (0 this week)
Forks 91
License unknown
Ranking

RepositoryStats indexes 641,731 repositories, of these lin-shuyu/VAE-LSTM-for-anomaly-detection is ranked #94,463 (85th percentile) for total stargazers, and #239,275 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,046/19,418.

lin-shuyu/VAE-LSTM-for-anomaly-detection is also tagged with popular topics, for these it's ranked: tensorflow (#697/2313),  time-series (#160/710),  anomaly-detection (#61/358),  unsupervised-learning (#57/332)

Other Information

lin-shuyu/VAE-LSTM-for-anomaly-detection has 3 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 10 open issues and 3 closed issues.

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updated: 2025-04-21 @ 04:26pm, id: 240303624 / R_kgDODlK-CA