DVC

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.

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!

Using Experiments for Transfer Learning
You can work with pretrained models and fine-tune them with DVC experiments.

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!

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.

Tuning Hyperparameters with Reproducible Experiments
Using DVC, you'll be able to track the changes that give you an ideal model.

July '21 Heartbeat
Monthly updates are here! Great new tutorials from the Community, uptick in jobs requiring DVC, awesome Community discussion on experiments at our June Meetup and a cipher. Can you figure it out?

June '21 Heartbeat
Monthly updates are here! Making sense of the MLOps Landscape, Community love, our MLOps philosophy, DVC Studio, R for DVC, new learning opportunities, team members and more!

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.