thuml/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
This project helps operations engineers, data scientists, and researchers automatically find unusual patterns in time-series data. It takes in raw time-series datasets, such as sensor readings or system logs, and identifies specific data points or periods that indicate anomalies. This is ideal for anyone who needs to monitor systems or processes and quickly pinpoint deviations from normal behavior.
999 stars. No commits in the last 6 months.
Use this if you need to reliably detect unexpected events or critical failures within continuous streams of data from industrial sensors, IT infrastructure, or other operational systems.
Not ideal if your data is not in a time-series format or if you need to perform other types of analysis like forecasting or classification.
Stars
999
Forks
270
Language
Python
License
MIT
Category
Last pushed
Dec 29, 2023
Commits (30d)
0
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