DVC and DataChain are open-source tools for managing and versioning data, especially useful for AI projects. DVC allows for versioning of large datasets alongside code using Git principles, facilitating reproducibility and collaboration. DataChain builds upon this by providing tools to wrangle unstructured data (images, audio, video, text) at scale, using AI helpers to filter, process, and organize data efficiently. Both tools aim to improve the efficiency and reproducibility of AI workflows, allowing researchers and developers to manage and track experiments more effectively.
• large-scale data processing
• connecting storage to repo
• versioning datasets without copying data
• dataset creation from queries
• processing and versioning of millions of files
• data management at scale
• reproducibility with git
• data version control
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