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 (4 years ago)
Commits 43 (last one 4 years ago)
Stargazers 460 (2 this week)
Watchers 10 (0 this week)
Forks 86
License unknown
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RepositoryStats indexes 582,119 repositories, of these lin-shuyu/VAE-LSTM-for-anomaly-detection is ranked #96,218 (83rd percentile) for total stargazers, and #206,013 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,041/17,018.

lin-shuyu/VAE-LSTM-for-anomaly-detection is also tagged with popular topics, for these it's ranked: tensorflow (#729/2235),  time-series (#158/655),  anomaly-detection (#61/326)

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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 8 open issues and 3 closed issues.

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updated: 2024-11-14 @ 07:13am, id: 240303624 / R_kgDODlK-CA