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Posts tagged with "CI/CD"

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, 20229 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, 20227 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, 20229 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, 20228 min read
The Road to Hell Starts with Good MLOps Intentions
Why we believe extending best practices of software engineering to machine learning projects will streamline ML and AI development and keep all of us off the road to hell.
  • Dmitry Petrov
  • Sep 07, 20215 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, 20216 min read
DVC 2.0 Release
Today is DVC 2.0 release day! Watch a video from DVC-team when we explain the new features and read more details in this blog post.
  • Dmitry Petrov
  • Mar 03, 202117 min read
CML self-hosted runners on demand with GPUs
Use your own GPUs with GitHub Actions & GitLab for continuous machine learning.
  • David G Ortega
  • Aug 07, 20205 min read
NEW VIDEO! 🎥 MLOps Tutorial #1: Intro to continuous integration for ML
A video tutorial abut using continuous integration in data science and machine learning projects. This tutorial shows how to use GitHub Actions and Continuous Machine Learning (CML) to create your own automated model training and evaluation system.
  • Elle O'Brien
  • Jul 24, 20202 min read
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