Wang Kun (Ohou-csu)

Ohou-csu

Geek Repo

Company:State Grid Ningxia Electric Power Co. LTD

Location:Csu-ChangSha-HuNan-China

Home Page:Instead/ wang397119@qq.com

Twitter:@ohou

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Wang Kun's repositories

AIOps-Learning-and-Exploration

AIops-Learning and Exploration

Language:Jupyter NotebookStargazers:4Issues:0Issues:0

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Stargazers:0Issues:0Issues:0

Keras-YOLOv4

supports training, at least 41.1% mAP.支持训练,至少41.1%mAP。少数的给出精度的复现。

Stargazers:0Issues:0Issues:0

aiops-handbook

Collection of slides, repositories, papers about AIOps

License:Apache-2.0Stargazers:0Issues:0Issues:0

AIOps-Challenge-2020-Data

The published dataset of AIOps Challenge 2020

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TraceAnomaly

ISSRE'20: Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

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awesome-log-analysis

A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

License:MITStargazers:0Issues:0Issues:0

awesome-AIOps

AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star

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aiopstools

The fundamental package for AIops with python.

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yolo4_tensorflow2

yolo 4th edition implemented by tensorflow2.0

License:MITStargazers:1Issues:0Issues:0

KPI-Anomaly-Detection

2018AIOps: The 1st match for AIOps

Stargazers:1Issues:0Issues:0