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Awesome Mlops

@visenger

关于 Awesome Mlops

A curated list of references for MLOps

基本信息

分类

其他

传输方式

stdio

发布者

visenger

提交者

Darrick Xue

配置

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代码仓库

工具

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概览

What is Awesome Mlops?

It is a curated list of references for MLOps (Machine Learning Operations), providing resources, tools, and best practices for the field.

How to use Awesome Mlops?

Key features of Awesome Mlops

  • Curated list of MLOps references and resources.
  • Categorized into topics like core MLOps, books, courses, and communities.
  • Includes links to tools, frameworks, and whitepapers.
  • Covers model deployment, testing, monitoring, and infrastructure.
  • Addresses governance, ethics, and responsible AI.

Use cases of Awesome Mlops

  • Finding MLOps learning materials and courses.
  • Discovering tools and frameworks for ML pipelines.
  • Referencing best practices for model deployment and monitoring.
  • Exploring community groups and events in MLOps.
  • Understanding MLOps maturity and implementation guides.

FAQ from Awesome Mlops

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