MLOps:From Zero to Hero in Two Lines of Code with ClearML


Jan 13, 10:00 AM PST
  • Virtual AICamp
  • 183 RSVPs
Description
Welcome to the "Deep Learning in Practice" learning series, presented by Allegro AI. This series is focused on methodologies and tools for machine and deep-learning(ML/DL) projects.

In the 5th session, we will focus on practical experiences and practises on MLOps

ClearML (formerly Allegro Trains) is the open-source platform that automates and simplifies developing and managing machine learning solutions for thousands of data science teams worldwide. It is now also available as a free managed service for small teams.
This workshop focuses on R&D-oriented MLOps capabilities. You will learn how to easily integrate ClearML into your workflows and introduce reproducibility and automation. Additionally, we will share battle-tested productivity-boosting tips for pros and beginners alike.

All sessions of the series:

  • Dec 2nd: The Hitchhiker’s Guide to Hyperparameter Optimization. Session 4
  • Nov 11th: ML Pipelines for Research: This is the Way. Session 3
  • Oct 14th: The Fundamentals of Research-MLOps. Session 2
  • Sep 23rd: Insights on Data Challenge in Deep Learning Projects. Session 1

    • Contact Organizer