New Release! The DVC 3.0 Stack: Beyond the Command Line
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.
