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Posts tagged with "MLOps"

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
  • Sep 06, 20227 min 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
  • Jul 26, 20226 min 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
  • Jul 19, 20226 min read
Syncing Data to GCP Storage Buckets
We're going to set up an GCP storage bucket remote in a DVC project.
  • Milecia McGregor
  • Jul 06, 20227 min 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
  • Jun 14, 20225 min read
Syncing Data to Azure Blob Storage
We're going to set up an Azure Blob Storage remote in a DVC project.
  • Milecia McGregor
  • Jun 13, 20226 min read
Productionize your models with MLEM in a Git-native way
Introducing MLEM - one tool to run your models anywhere.
  • Alexander Guschin
  • Jun 01, 20227 min read
Syncing Data to AWS S3
We're going to set up an AWS S3 remote in a DVC project.
  • Milecia McGregor
  • May 31, 20225 min read
Moving Local Experiments to the Cloud with Terraform Provider Iterative (TPI) and Docker
Tutorial for easily running experiments in the cloud with the help of Terraform Provider Iterative (TPI) and Docker.
  • Casper da Costa-Luis
  • May 24, 20224 min read