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    DVC

    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, 20225 min read
    July '22 Heartbeat
    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!
    • Jeny De Figueiredo
    • Jul 18, 20229 min read
    Syncing Data to GCP Storage Buckets
    We're going to set up a GCP storage bucket remote in a DVC project.
    • Milecia McGregor
    • Jul 06, 20224 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, 20223 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, 20224 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, 20223 min read
    May '22 Heartbeat
    Monthly updates are here! You will find a link to Chip Huyen's new book, great guides and frameworks on the iterative nature of AI, tons of company news, Dmitry on TFIR, beyond machine learning use cases and more! Welcome to May!
    • Jeny De Figueiredo
    • May 16, 20228 min read
    End-to-End Computer Vision API, Part 3: Remote Experiments & CI/CD For Machine Learning
    In this final part, we will focus on leveraging cloud infrastructure with CML; enabling automatic reporting (graphs, images, reports and tables with performance metrics) for PRs; and the eventual deployment process.
    • Alex Kim
    • May 09, 20226 min read
    Training and saving models with CML on a dedicated AWS EC2 runner (part 2)
    Use CML to automatically retrain a model on a provisioned AWS EC2 instance and export the model to a DVC remote storage on Google Drive.
    • Rob de Wit
    • May 06, 20226 min read