DVC
Tool Overview
DVC (Data Version Control) is an open-source version control system tailored for data science and machine learning projects. It provides a Git-like experience for managing large datasets, machine learning models, and experimental results.
Key features include: data management at scale, reproducibility with Git, connecting storage to repo, configuring steps as you go and tracking experiments in Git.
DVC helps data scientists and machine learning engineers streamline their workflows, ensure reproducibility, and collaborate effectively. Use DVC to version and save data, connect to code, track experiments and register models, all based on GitOps principles.
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