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License: Apache License 2.0
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预测 单指标，建议增加：支付宝开源的pyraformer模型
https://github.com/alipay/Pyraformer
Pyraformer: Low-complexity Pyramidal Attention for Long-range Time Series Modeling and Forecasting
Please add facebook kats into this document.
Dear chenryn,
Could you please add facebook kats into this document?
As for more information on "facebook kats", please refer to:
https://github.com/facebookresearch/Kats
Regards
Cliff
清华裴丹团队举办的 KPI 异常检测比赛
请问前五名的代码是否开源了呢
基于lstm的日志异常检测工具包
完整版中文介绍：基于lstm的日志异常检测工具包
Github Repo: logdeep
欢迎各位star，提issue以及pr！
前言
日志异常检测模型从模型角度可以分为机器学习和深度学习两大方向，目前基于机器学习的已经有港中文开源的loglizer框架。
鉴于使用rnn为主的深度模型在训练以及预测过程中api与基于机器学习(sklearn)的有较大差别，因此在实践过程中本人针对近两年发布的有关基于rnn的日志异常检测论文进行总结并提炼出了一个工具包logdeep，方便其他研究者继续在此基础上进行创新的工作。
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