matlab-deep-learning / Industrial-Machinery-Anomaly-Detection

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

Date Created 2021-04-20 (3 years ago)
Commits 88 (last one 3 years ago)
Stargazers 47 (0 this week)
Watchers 3 (0 this week)
Forks 19
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RepositoryStats indexes 632,894 repositories, of these matlab-deep-learning/Industrial-Machinery-Anomaly-Detection is ranked #508,218 (20th percentile) for total stargazers, and #417,466 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #1,220/1,635.

matlab-deep-learning/Industrial-Machinery-Anomaly-Detection is also tagged with popular topics, for these it's ranked: deep-learning (#7,503/8811),  matlab (#327/388)

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updated: 2025-03-07 @ 01:22am, id: 359805013 / R_kgDOFXIwVQ