learningOrchestra / mlToolKits

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

Date Created 2020-03-19 (4 years ago)
Commits 1,214 (last one 2 years ago)
Stargazers 76 (0 this week)
Watchers 5 (0 this week)
Forks 23
License gpl-3.0
Ranking

RepositoryStats indexes 616,861 repositories, of these learningOrchestra/mlToolKits is ranked #363,271 (41st percentile) for total stargazers, and #339,381 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #69,157/124,816.

learningOrchestra/mlToolKits is also tagged with popular topics, for these it's ranked: python (#15,289/22961),  hacktoberfest (#10,930/15386),  machine-learning (#5,601/8265),  docker (#4,295/6496),  database (#1,931/2685),  dataset (#757/1196),  cloud (#786/1110),  microservices (#625/851),  spark (#384/548),  container (#248/375),  parallel-computing (#149/215),  distributed-computing (#140/195)

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

Star History

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

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Issue History

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Languages

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

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learningOrchestra/mlToolKits

updated: 2025-01-30 @ 06:00am, id: 248545840 / R_kgDODtCCMA