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License: Apache License 2.0

Shell 0.38% JavaScript 0.01% Python 15.27% HCL 0.10% Jupyter Notebook 84.03% Dockerfile 0.19% Mustache 0.02%

mlops-on-gcp's Introduction

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.

mlops-on-gcp's People

Contributors

ksalama avatar benoitdherin avatar jarokaz avatar dougkelly avatar ajayhemnani avatar kornelregius avatar duygune avatar enakai00 avatar merlin1649 avatar siddharthchaurasia-tudip avatar maneerali-ssk avatar harshapatel-tudip avatar munnm avatar annasochandure-ssk avatar vishvanathwaychal-tudip avatar krutimangal-tudip avatar maabel0712 avatar akshaykumarpatil-tudip avatar anupkumaryadav-tudip avatar hemantsinalkar-ssk avatar kartikagrawal-tudip avatar swetasingh-tudip avatar kylesteckler avatar dylan-stark avatar prafullkotecha avatar rosetn avatar

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