Data Version Control
Data Version Control Logo
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About Data Version Control
Data Version Control (DVC) is an open-source tool designed to manage, version, and organize large data files, machine learning models, and workflows for AI and machine learning projects. DVC enables users to connect storage to code repositories, track experiments, declare dependencies and outputs, and build reproducible end-to-end pipelines. It supports versioning of images, audio, video, and text files, and integrates with cloud storage solutions to facilitate collaboration and reproducibility in machine learning development.
Sector
Information Technology
Industry Group
Software & Services
Industry
Software
Subindustry
Application Software
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