An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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Updated
Jul 16, 2024 - HTML
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Metis is a learnware platform in the field of AIOps.
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
Cloud Native DataOps & AIOps Platform | 云原生数智运维平台
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
Collection of slides, repositories, papers about AIOps
The open-source alert management and AIOps platform
The fundamental package for AIops with python.
Log Anomaly Detection - Machine learning to detect abnormal events logs
A robust streaming log template miner based on the Drain algorithm
A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps
log anomaly detection toolkit including DeepLog
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
LogAI - An open-source library for log analytics and intelligence
Multi Cluster Observability with AIOps
Log-based impactful problem identification using machine learning [FSE'18]
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