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, 2021 • 4 min read

Using Experiments for Transfer Learning

You can work with pretrained models and fine-tune them with DVC experiments.

Milecia McGregor
Aug 24, 2021 • 12 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, 2021 • 8 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, 2021 • 4 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, 2021 • 5 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.