Machine Learning

Tutorial: Scalable and Distributed ML Workflows with DVC and Ray on AWS (Part 2)

Need to setup DVC to work with Ray Cluster on AWS? This tutorial has you covered!

Mikhail Rozhkov

March 13, 2024

19 minutes read

Tutorial: Scalable and Distributed ML Workflows with DVC and Ray (Part 1)

This tutorial introduces you to integrating DVC (Data Version Control) with Ray, turning them into your go-to toolkit for creating automated, scalable, and distributed ML pipelines.

Mikhail Rozhkov

March 12, 2024

20 minutes read

Instant Experiment Tracking: Just Add DVC!

Experiment tracking in DVC with a few lines of Python.

Dave Berenbaum

December 15, 2022

4 minutes read

Deploy ML models to k8s and SageMaker with a single line of code

MLEM takes the evil configs out of Kubernetes and SageMaker to make your life easier just in time for Halloween 🎃

Alexander Guschin

October 31, 2022

4 minutes read

Productionize your models with MLEM in a Git-native way

Introducing MLEM - one tool to run your models anywhere.

Alexander Guschin

June 1, 2022

7 minutes read

ML best practices in PyTorch dev conf 2018

In the Machine Learning (ML) field tools and techniques for best practices are just starting to be developed.

Dmitry Petrov

October 18, 2018

5 minutes read