awesome-aiops
github.com/linjinjin123/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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Curated Resources
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White PaperCourse and SlidesIndustry PracticeArticleTools and AlgorithmsPaperDataset
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Dataset
Article
Industry Practice
Paper
- Anomaly Detection Based on Mining Six Local Data Features and BP Neural Network
- Generic and Robust Localization of Multi-Dimensional Root Causes
- HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes
- KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications
- Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning
- Papers from Tsinghua NetMan Lab
Tools and Algorithms
- Anomaly Detection Examples
- Anomaly Detection with Twitter in R
- Awesome Time Series Analysis and Data Mining
- facebook/prophet, Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- google/CausalImpact, An R package for causal inference in time series
- Microsoft开源时间序列打标工具: TagAnomaly
Course and Slides
- Tsinghua-Peidan
AIOps course in Tsinghua.
- 基于机器学习的智能运维
White Paper
Showing a sample of 49 resources. View the full list on GitHub →