Reproducibility

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.

Rob de Wit

September 6, 2022

7 minutes read

January ’22 Heartbeat

Monthly updates are here! You will find great tutorials and workflows from the Community, Online course is now open, decision making strategies for MLOps tools, and more! Welcome to 2022!🎇

Jeny De Figueiredo

January 18, 2022

9 minutes read

Using Experiments for Transfer Learning

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

Milecia McGregor

August 24, 2021

11 minutes read

Tuning Hyperparameters with Reproducible Experiments

Using DVC, you'll be able to track the changes that give you an ideal model.

Milecia McGregor

July 19, 2021

9 minutes read

CML self-hosted runners on demand with GPUs

Use your own GPUs with GitHub Actions & GitLab for continuous machine learning.

David G Ortega

August 7, 2020

5 minutes read

Catch up on new DVC releases, talks, and projects in our community. This month, we recap the DVC 1.0 release, making the list of top 20 fastest growing open-source startups, and interviews galore. Plus: 📣 an invitation to the next DVC meetup!

Elle O'Brien

July 10, 2020