Data Version Control in Real Life

We write about machine learning workflow. From data versioning and processing to model productionization. We share our news, findings, interesting reads, community takeaways.
September'21 Heartbeat
Monthly updates are here! Awesome new tutorials and guides form the Community, cat's out of the bag on VS Code extension, doc updates, DVC + Streamlit Meetup video, and more!
  • Jeny De Figueiredo
  • Sep 14, 20219 min read
The Road to Hell Starts with Good MLOps Intentions
Why we believe extending best practices of software engineering to machine learning projects will streamline ML and AI development and keep all of us off the road to hell.
  • Dmitry Petrov
  • Sep 07, 20215 min read
August '21 Community Gems
A roundup of technical Q&A's from the DVC community. This month: separate DVC pipelines, working with CML, handling metrics, and more.
  • Milecia McGregor
  • Aug 31, 20215 min read
Using Experiments for Transfer Learning
You can work with pretrained models and fine-tune them with DVC experiments.
  • Milecia McGregor
  • Aug 24, 202116 min read
August'21 Heartbeat
Monthly updates are here! The new data centricity focus, a comparison of DVC, MLFlow and Metaflow, tutorials and tool stacks, doc updates and more!
  • Jeny De Figueiredo
  • Aug 17, 20219 min read
July '21 Community Gems
A roundup of technical Q&A's from the DVC community. This month: self-hosted runners, DVC commits, troubleshooting remotes, and more.
  • Milecia McGregor
  • Jul 27, 20215 min read
Tuning Hyperparameters with Reproducible Experiments
Using DVC, you'll be able to track the changes that give you an ideal model.
  • Milecia McGregor
  • Jul 19, 20219 min read
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