combinator-ml/combinator

Combinator.ml's central repo, documentation and website

29
/ 100
Experimental

Combinator helps machine learning practitioners quickly set up and use popular, pre-configured machine learning workflows. It takes common machine learning components and combines them into ready-to-use systems, allowing you to focus on your data and problem rather than infrastructure. Data scientists, ML engineers, and researchers can use this to streamline their model development and deployment.

No commits in the last 6 months.

Use this if you need to rapidly deploy a complete machine learning solution without spending time assembling individual components and managing complex configurations.

Not ideal if you require highly custom, granular control over every single machine learning component and their intricate interactions outside of opinionated stacks.

machine-learning-operations ml-workflow-automation model-deployment data-science-productivity ai-solution-building
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 6 / 25

How are scores calculated?

Stars

30

Forks

2

Language

Makefile

License

Apache-2.0

Last pushed

Jan 06, 2022

Commits (30d)

0

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