Iterative Blog
Find here DataChain and DVC news, findings, interesting reads, community takeaways, deep dive into machine learning workflows from data versioning and processing to model productionization.
(Tab) Complete Any Python Application in 1 Minute or Less
We've made a painless tab-completion script generator for Python applications! Find out how to take advantage of it in this blog post.
NEW VIDEO! 🎥 MLOps Tutorial #1:
Intro to continuous integration for ML
A video tutorial about using continuous integration in data science and machine learning projects. This tutorial shows how to use GitHub Actions and Continuous Machine Learning (CML) to create your own automated model training and evaluation system.
What data scientists need to know about DevOps
A philosophical and practical guide to using continuous integration (via GitHub Actions) to build an automatic model training system.
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!
New Release: Continuous Machine Learning (CML) is CI/CD for ML
Today we're launching Continuous Machine Learning (CML), a new open-source project for CI/CD with ML. Let's bring the power of DevOps to ML or MLOps.
June '20 Community Gems
A roundup of technical Q&A's from the DVC community. This month, we discuss migrating to DVC 1.0, the new pipeline format, and our Python API.
Packaging data and machine learning models for sharing
A virtual poster for SciPy 2020 about sharing versioned datasets and ML models with DVC.
DVC 1.0 release: new features for MLOps
Today we're releasing DVC 1.0 with new exciting features that users were waiting for ❤️. Find all the details in this blog post.
June ’20 Heartbeat
Catch up on new DVC releases, talks, and projects in our community. This month, learn about finishing touches on DVC 1.0, DVC in biomedical research, recommended reading and upcoming MLOps talks.