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 9 months ago)

Stargazers 343 (1 this week)

Watchers 11 (0 this week)

Forks 65

License apache-2.0

This repository has been archived on Github

Ranking

RepositoryStats indexes 584,353 repositories, of these ray-project/ray-educational-materials is ranked #120,113 (79th percentile) for total stargazers, and #191,111 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,628/17,098.

ray-project/ray-educational-materials is also tagged with popular topics, for these it's ranked: deep-learning (#2,600/8389), llm (#817/2726), generative-ai (#141/546), llm-inference (#49/159)

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.

All Topics

llm ray ray-data ray-tune ray-serve ray-train llm-serving deep-learning generative-ai llm-inference ray-distributed distributed-machine-learning

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

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Languages

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

updated: 2024-11-21 @ 04:52am, id: 537317100 / R_kgDOIAbO7A