Today we are releasing the DVC extension, which brings a full ML experimentation platform to Visual Studio Code. | Continue reading
Today we introduce painless resource orchestration for your machine learning projects in conjunction with HashiCorp Terraform. | Continue reading
A philosophical and practical guide to using continuous integration (via GitHub Actions) to build an automatic model training system. | Continue reading
Use your own GPUs with GitHub Actions & GitLab for continuous machine learning. | Continue reading
We've made a painless tab-completion script generator for Python applications!Find out how to take advantage of it in this blog post. | Continue reading
A virtual poster for SciPy 2020 about sharing versioned datasets and ML models with DVC. | Continue reading
Today we're releasing DVC 1.0. New exciting features that users were waitingfor ❤️ . All the details in this blog post. | Continue reading
Today, we've got three big announcements: 🎉 3rd-year anniversary of DVC,🚀 DVC 1.0 pre-release is ready and ⭐ 5000 GitHub starts. | Continue reading
DVC is designed to handle large data files, models, and metrics as well as code. DVC is an open-source framework and distributed version control system for machine learning projects. | Continue reading
DVC is designed to handle large data files, models, and metrics as well as code. DVC is an open-source framework and distributed version control system for machine learning projects. | Continue reading