About: Data Version Control

An Entity of Type: software, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. It is designed to make ML models shareable, experiments reproducible, and to track versions of models, data, and pipelines. DVC works on top of Git repositories and cloud storage. The first (beta) version of DVC 0.6 was launched in May 2017. In May 2020, DVC 1.0 was publicly released by Iterative.ai.

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dbo:abstract	DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. It is designed to make ML models shareable, experiments reproducible, and to track versions of models, data, and pipelines. DVC works on top of Git repositories and cloud storage. The first (beta) version of DVC 0.6 was launched in May 2017. In May 2020, DVC 1.0 was publicly released by Iterative.ai. (en)
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dbp:author	Dmitry Petrov (en)
dbp:developer	Iterative.ai (en)
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dbp:repo	https://github.com/iterative/dvc
dbp:title	DVC (en)
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rdfs:comment	DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. It is designed to make ML models shareable, experiments reproducible, and to track versions of models, data, and pipelines. DVC works on top of Git repositories and cloud storage. The first (beta) version of DVC 0.6 was launched in May 2017. In May 2020, DVC 1.0 was publicly released by Iterative.ai. (en)
rdfs:label	Data Version Control (en)
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