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 | 2024-11-21 14:45:11 |
Last Commit At | 2024-11-21 15:45:11 |
Stargazers Count | 13151 |
Watchers Count | 398 |
Fork Count | 1947 |
Commits Count | 309 |
Has Issues Enabled | |
Issues Count | 17 |
Issue Open Count | 6 |
Pull Requests Count | 84 |
Pull Requests Open Count | 6 |
Pull Requests Close Count | 23 |
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