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A Python toolkit for rule-based/unsupervised anomaly detection in time series
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Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
《利用Python进行数据分析·第2版》
utools 截图插件
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.
TODS: An Automated Time-series Outlier Detection System
Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
提取微信聊天记录,将其导出成HTML、Word、CSV文档永久保存,对聊天记录进行分析生成年度聊天报告
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