khundman / telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Date Created 2018-06-01 (6 years ago)

Commits 37 (last one 4 years ago)

Stargazers 1,036 (1 this week)

Watchers 38 (0 this week)

Forks 250

License other

Ranking

RepositoryStats indexes 585,332 repositories, of these khundman/telemanom is ranked #49,244 (92nd percentile) for total stargazers, and #56,595 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,017/17,144.

khundman/telemanom is also tagged with popular topics, for these it's ranked: deep-learning (#1,257/8403), tensorflow (#427/2242), keras (#134/791), time-series (#90/663), anomaly-detection (#33/329)

Other Information

khundman/telemanom has 5 open pull requests on Github, 10 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 11 open issues and 48 closed issues.

Homepage URL: https://arxiv.org/abs/1802.04431

All Topics

kdd rnn lstm keras kdd2018 tensorflow time-series deep-learning anomaly-detection

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updated: 2024-11-21 @ 07:29pm, id: 135760903 / R_kgDOCBeMBw