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    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, 2022 • 4 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, 2022 • 3 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, 2022 • 5 min read
    Machine Learning Workloads with Terraform Provider Iterative
    Today we introduce painless resource orchestration for your machine learning projects in conjunction with HashiCorp Terraform.
    • Maria Khalusova
    • Apr 27, 2022 • 3 min read
    Don't Just Track Your ML Experiments, Version Them
    ML experiment versioning brings together the benefits of traditional code versioning and modern day experiment tracking, super charging your ability to reproduce and iterate on your work.
    • Dave Berenbaum
    • Dec 07, 2021 • 4 min read
    Easy Stuctural Refactors to Python Source Code
    Simple, hassle-free, dependency-free, AST based source code refactoring toolkit.
    • Batuhan Taskaya
    • Sep 24, 2021 • 2 min read
    Introducing DVC Studio
    🚀 We are excited to release DVC Studio, the online UI for DVC and CML. Use DVC Studio for ML versioning, visualization, teamwork and no-code automation on top of DVC and Git. Read all about the exciting features and watch videos to get started quickly.
    • Tapa Dipti Sitaula
    • Jun 02, 2021 • 4 min read
    Git Custom References for ML Experiments
    In DVC 2.0, we’ve introduced a new feature set aimed at simplifying the versioning of lightweight ML experiments. In this post, we’ll dive into how exactly these new experiments work.
    • Peter Rowlands
    • Apr 19, 2021 • 6 min read