This is the Linux app named Data Version Control whose latest release can be downloaded as 3.67.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Data Version Control
DESCRIPTION:
DVC (Data Version Control) is an open source tool designed to bring version control principles to machine learning and data science workflows. It enables developers and data scientists to track datasets, machine learning models, and experiment results in a way that integrates with existing Git repositories. Instead of storing large datasets directly in Git, DVC keeps lightweight metadata in the repository while storing the actual data in external storage systems. This approach allows teams to manage large files efficiently while maintaining a clear history of changes to data and models. DVC also provides a pipeline system that defines the stages of machine learning workflows, making experiments reproducible and easier to manage. By tracking dependencies between code, data, and parameters, the system ensures that only the necessary stages are re-run when changes occur. DVC also includes experiment tracking capabilities that allow users to compare different training runs.
Features
- Version control for datasets, machine learning models, and experiment artifacts
- Git-compatible workflow that tracks data changes through metadata files
- Pipeline system for defining reproducible machine learning workflows
- Experiment tracking with metrics comparison and visualization
- Support for external storage backends for large datasets
- Ability to reproduce and share experiments across environments
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/data-version-control.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.