Skip to content

adityajadhav2004/mlops-on-gcp

 
 

Repository files navigation

ML Engineering on Google Cloud Platform

License

This repository maintains hands-on labs and code samples that demonstrate best practices and patterns for implementing and operationalizing production grade machine learning workflows on Google Cloud Platform.

Navigating this repository

This repository is organized into two sections:

Mini workshops

This section contains hands-on labs for instructor led ML Engineering mini workshops.

Code Samples

This section compiles samples demonstrating design and code patterns for a variety of ML Engineering topics.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 83.5%
  • Python 15.8%
  • Shell 0.4%
  • Dockerfile 0.2%
  • HCL 0.1%
  • Mustache 0.0%