Git

Read about how we built a Python Git LFS client to support integrating projects which use Git LFS into your DVC workflow.

Experiment tracking in DVC with a few lines of Python.

Use CML from a Bitbucket pipeline to provision an AWS EC2 instance and (re)train a machine learning model.

Monthly updates are here! Phenomenal new posdcast, DVC with MinIO, Semantic similarity, DVC for Kaggle, new Model Registry in Studio, first Iterative Internal Hackathon and more! Welcome to August!

🚀 As Machine Learning projects and teams grow, keeping track of all the models and their production status gets increasingly complex. Iterative Studio's Git-backed Model Registry solves this.

Once you have a machine learning model that's ready for production, getting it out can be complicated. In this tutorial, we're going to use MLEM to deploy a model as a web API.

What a couple months it's been! This month you will find lots that's happening in IRL conferences again and in case you missed it, we've had some new, exciting releases! In addtion you'll find a guide to migrate from Git-LFS to DVC, the first Community piece on MLEM, and demo videos. Welcome to July!

We're going to set up a GCP storage bucket remote in a DVC project.

We're going to set up an Azure Blob Storage remote in a DVC project.