lyx199504/mc-lstm-time-series
本项目是论文《Anomaly Detection Using Multiscale C-LSTM for Univariate Time-Series》的实验代码，实现了多种时间序列异常检测模型。
This project helps developers evaluate various deep learning models for detecting unusual patterns in single-stream time-series data. It takes in public time-series datasets, like those from Numenta and Yahoo, and outputs trained anomaly detection models. This is intended for researchers and machine learning engineers working on time-series anomaly detection.
No commits in the last 6 months.
Use this if you are a researcher or ML engineer looking to benchmark different C-LSTM based deep learning models for univariate time-series anomaly detection.
Not ideal if you need a plug-and-play solution for immediate anomaly detection in your business data or if you are dealing with multivariate time series.
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Python
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Last pushed
Nov 21, 2023
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