Try it yourself! Explore the demo Model Registry to test drive Iterative Studio's MR.
Pipelines
From Jupyter Notebook to DVC pipeline for reproducible ML experiments
In this guide we will take a Jupyter Notebook and use Papermill to turn it into a simple, one-stage DVC pipeline.
CML Cloud Runners for Model Training in Bitbucket Pipelines
Use CML from a Bitbucket pipeline to provision an AWS EC2 instance and (re)train a machine learning model.
August '22 Community Gems
A roundup of technical Q&A's from the DVC community. This month: explaining DVC versioning mechanism, some tricks with pipelines and CML action, visualizing plots in VS Code extension.
July '22 Community Gems
A roundup of technical Q&A's from the DVC community. This month: deploying models MLEM, DVC data and remotes, DVC stages and plots, and more.
June '22 Community Gems
A roundup of technical Q&A's from the DVC and CML communities. This month: working with the DVC cache, DVC data and remotes, using DVC programmatically, and more.
May '22 Community Gems
A roundup of technical Q&A's from the DVC and CML communities. This month: working with CML and GCP, DVC data and remotes, DVC pipelines and setups, and more.
Training and saving models with CML on a dedicated AWS EC2 runner (part 2)
Use CML to automatically retrain a model on a provisioned AWS EC2 instance and export the model to a DVC remote storage on Google Drive.
Training and saving models with CML on a self-hosted AWS EC2 runner (part 1)
In this guide we will show how you can use CML to automatically retrain a model and save its outputs to your Github repository using a provisioned AWS EC2 runner.
January '22 Community Gems
A roundup of technical Q&A's from the DVC and CML communities. This month: DVC Studio data, DVC for non-ML projects, getting started with CML, and more.
