jomariya23156 / sales-forecast-mlops-at-scale

Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more

Date Created 2024-02-24 (9 months ago)

Commits 52 (last one 8 months ago)

Stargazers 57 (0 this week)

Watchers 5 (0 this week)

Forks 16

License mit

Ranking

RepositoryStats indexes 589,134 repositories, of these jomariya23156/sales-forecast-mlops-at-scale is ranked #426,533 (28th percentile) for total stargazers, and #333,644 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,008/17,281.

jomariya23156/sales-forecast-mlops-at-scale is also tagged with popular topics, for these it's ranked: python (#17,426/22145), machine-learning (#6,290/7978), docker (#4,894/6246), kubernetes (#3,173/3920), kafka (#654/840), fastapi (#506/765), spark (#451/537), cloud-native (#452/513), helm (#367/481), mlops (#326/415), google-cloud (#204/264), full-stack (#178/233), system (#161/203), airflow (#107/146)

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Recent Commit History

52 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-28 @ 07:06pm, id: 762747983 / R_kgDOLXacTw