Posts tagged with "MLOps"

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
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
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
Introducing DVC Studio
🚀 We are excited to release DVC Studio, the online UI for DVC and CML. Use DVC Studio for ML versioning, visualization, teamwork and no-code automation on top of DVC and Git. Read all about the exciting features and watch videos to get started quickly.
  • Tapa Dipti Sitaula
  • Jun 02, 20215 min read
May ’21 Heartbeat
Monthly updates are here! We've hit 30 team members! MLOps learning opportunities, tutorials with integrations, conference videos, Discord server growth, and more!
  • Jeny De Figueiredo
  • May 21, 20219 min read
Git Custom References for ML Experiments
In DVC 2.0, we’ve introduced a new feature set aimed at simplifying the versioning of lightweight ML experiments. In this post, we’ll dive into how exactly these new experiments work.
  • Peter Rowlands
  • Apr 19, 20218 min read
April ’21 Heartbeat
Monthly updates are here! Loads from the Community, use cases, videos, 5 new hires, and more!
  • Jeny De Figueiredo
  • Apr 16, 20217 min read
March ’21 Heartbeat
Monthly updates are here! News, use cases, videos, journal publications and more!
  • Jeny De Figueiredo
  • Mar 15, 20216 min read
DVC 2.0 Release
Today is DVC 2.0 release day! Watch a video from DVC-team when we explain the new features and read more details in this blog post.
  • Dmitry Petrov
  • Mar 03, 202119 min read
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