Awesome MLOps
为 MLOps 策划的参考清单。MLOps 即机器学习操作化。MLOps SIG 对其的定义是:DevOps 方法的扩展,将机器学习和数据科学资产作为 DevOps 生态中的一等公民。「A curated list of references for MLOps. MLOps - Machine Learning Operations. Which defined by MLOps SIG: "the extension of the DevOps methodology to include Machine Learning and Data Science assets as first-class citizens within the DevOps ecology"」
Main metrics
Overview
Name With Owner | visenger/awesome-mlops |
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Program language | (Language Count: 0) |
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Release Count | 0 |
Created At | 2020-03-03 11:37:19 |
Pushed At | 2024-05-09 16:39:25 |
Last Commit At | 2024-04-23 22:28:58 |
Stargazers Count | 11807 |
Watchers Count | 383 |
Fork Count | 1784 |
Commits Count | 306 |
Has Issues Enabled | |
Issues Count | 15 |
Issue Open Count | 5 |
Pull Requests Count | 84 |
Pull Requests Open Count | 2 |
Pull Requests Close Count | 23 |
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Is Private |