learningOrchestra / mlToolKits

learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.

learningOrchestra
learningOrchestra
Date Created 2020-03-19 (4 years ago)
Commits 1,214 (last one 2 years ago)
Stargazers 75 (0 this week)
Watchers 6 (0 this week)
Forks 23
License gpl-3.0
Ranking

RepositoryStats indexes 534,880 repositories, of these learningOrchestra/mlToolKits is ranked #330,086 (38th percentile) for total stargazers, and #285,507 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #60,366/103,597.

learningOrchestra/mlToolKits is also tagged with popular topics, for these it's ranked: python (#14,089/20457),  hacktoberfest (#10,261/14045),  machine-learning (#5,142/7374),  docker (#3,947/5787),  database (#1,813/2454),  dataset (#682/1057),  cloud (#733/1005),  microservices (#597/791),  spark (#363/506),  container (#219/332),  distributed-computing (#128/177)

Other Information

learningOrchestra/mlToolKits has 13 open pull requests on Github, 99 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 8 open issues and 13 closed issues.

There have been 3 releases, the latest one was published on 2021-04-11 (3 years ago) with the name Enabling tensorflow in data scientist workflow.

Homepage URL: https://learningorchestra.github.io

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Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

The primary language is Python but there's also others...

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learningOrchestra/mlToolKits

updated: 2024-05-03 @ 03:32am, id: 248545840 / R_kgDODtCCMA