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    Testing external contributions using GitHub Actions secrets
    Learn how to test open source contributors' pull requests using GitHub Actions secrets, securely.
    • Helio Machado
    • Apr 20, 20232 min read
    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, 20225 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
    End-to-End Computer Vision API, Part 2: Local Experiments
    In part 1, we talked about effective management and versioning of large datasets and the creation of reproducible ML pipelines. Here we'll learn about experiment management: generation of many experiments by tweaking configurations and hyperparameters; comparison of experiments based on their performance metrics; and persistence of the most promising ones
    • Alex Kim
    • May 05, 20225 min read
    End-to-End Computer Vision API, Part 1: Data Versioning and ML Pipelines
    In most cases, training a well-performing Computer Vision (CV) model is not the hardest part of building a Computer Vision-based system. The hardest parts are usually about incorporating this model into a maintainable application that runs in a production environment bringing value to the customers and our business.
    • Alex Kim
    • May 03, 20225 min read
    Training and saving models with CML on a self-hosted AWS EC2 runner (part 1)
    In this guide we will show how you can use CML to automatically retrain a model and save its outputs to your Github repository using a provisioned AWS EC2 runner.
    • Rob de Wit
    • Apr 26, 20226 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, 20214 min read