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.
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!🎇
Using Experiments for Transfer Learning
You can work with pretrained models and fine-tune them with DVC experiments.
Tuning Hyperparameters with Reproducible Experiments
Using DVC, you'll be able to track the changes that give you an ideal model.
CML self-hosted runners on demand with GPUs
Use your own GPUs with GitHub Actions & GitLab for continuous machine learning.
July ’20 Heartbeat
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!
