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 75 (0 this week)

Watchers 6 (0 this week)

Forks 23

License gpl-3.0

Ranking

RepositoryStats indexes 595,856 repositories, of these learningOrchestra/mlToolKits is ranked #357,705 (40th percentile) for total stargazers, and #300,666 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #67,583/119,431.

learningOrchestra/mlToolKits is also tagged with popular topics, for these it's ranked: python (#15,115/22324), hacktoberfest (#10,975/15285), machine-learning (#5,537/8063), docker (#4,226/6301), database (#1,917/2626), dataset (#739/1165), cloud (#779/1092), microservices (#621/834), spark (#381/540), container (#246/363), parallel-computing (#145/210), 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

All Topics

cloud spark docker python cluster dataset database container docker-swarm hacktoberfest microservices machine-learning prediction-model parallel-computing docker-swarm-cluster distributed-computing

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

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

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