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Rank #8,743 578 starsJupyter Notebook

VAE-LSTM-for-anomaly-detection

by lin-shuyu (personal account)

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series. (description from the project’s GitHub page)

Repository facts

Stars
578
Forks
95
Open issues and pull requests
13
Primary language
Jupyter Notebook
License
No license file detected
Owner
lin-shuyu · Personal account
Created
Feb 13, 2020
Last push
Nov 21, 2022

Topics

Rank #8,743 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

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