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.
October '21 Heartbeat
Monthly updates are here! The word of the month is workflows! Checkout how Community members improve their workflows with DVC and CML. Find out news from the team, new learning opportunities, and more!
  • Jeny De Figueiredo
  • Oct 15, 202112 min read
Adding Data to Build a More Generic Model
You can easily make changes to your dataset using DVC to handle data versioning. This will let you extend your models to handle more generic data.
  • Milecia McGregor
  • Oct 05, 20219 min read
September '21 Community Gems
A roundup of technical Q&A's from the DVC and CML communities. This month: data registries, working with DVC remotes, queued experiments, and more.
  • Milecia McGregor
  • Sep 30, 20215 min read
Easy Stuctural Refactors to Python Source Code
Simple, hassle-free, dependency-free, AST based source code refactoring toolkit.
  • Batuhan Taskaya
  • Sep 24, 20213 min read
September'21 Heartbeat
Monthly updates are here! Awesome new tutorials and guides from 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
Subscribe for updates. We won't spam you.