ray-project / ray-educational-materials

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

Date Created 2022-09-16 (2 years ago)
Commits 146 (last one about a year ago)
Stargazers 375 (1 this week)
Watchers 10 (0 this week)
Forks 70
License apache-2.0
This repository has been archived on Github
Ranking

RepositoryStats indexes 617,630 repositories, of these ray-project/ray-educational-materials is ranked #116,104 (81st percentile) for total stargazers, and #209,526 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,555/18,409.

ray-project/ray-educational-materials is also tagged with popular topics, for these it's ranked: deep-learning (#2,515/8709),  llm (#934/3273),  generative-ai (#161/644),  llm-inference (#55/192)

Other Information

ray-project/ray-educational-materials has 1 open pull request on Github, 86 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 19 closed issues.

There have been 4 releases, the latest one was published on 2023-04-24 (about a year ago) with the name Anyscale AWS workshop in NYC.

Star History

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Watcher History

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Recent Commit History

146 commits on the default branch (main) since jan '22

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Issue History

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Languages

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

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updated: 2025-02-16 @ 11:10pm, id: 537317100 / R_kgDOIAbO7A