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
Rob de Wit
September 6, 2022
7 minutes read
Git-backed Machine Learning Model Registry to bring order to chaos
🚀 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.
Tapa Dipti Sitaula
Tapa Dipti Sitaula
July 26, 2022
5 minutes read
Serving Machine Learning Models with MLEM
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.
Milecia McGregor
Milecia McGregor
July 19, 2022
7 minutes read
Syncing Data to GCP Storage Buckets
We're going to set up a GCP storage bucket remote in a DVC project.
Milecia McGregor
Milecia McGregor
July 6, 2022
6 minutes read
Turn Visual Studio Code into a machine learning experimentation platform with the DVC extension
Today we are releasing the DVC extension, which brings a full ML experimentation platform to Visual Studio Code.
Rob de Wit
Rob de Wit
June 14, 2022
4 minutes read
Syncing Data to Azure Blob Storage
We're going to set up an Azure Blob Storage remote in a DVC project.
Milecia McGregor
Milecia McGregor
June 13, 2022
6 minutes read