MLOps workshop with Amazon SageMaker

Sample datasets and code for operationalizing Amazon Fraud Detector using SageMaker DataWrangler, Feature Store, and Pipelines.

Build an MXNet image classification model via SageMaker Pipelines

This solution shows how to deliver reusable and self-contained custom components to Amazon SageMaker environment using AWS Service Catalog, AWS CloudFormation, SageMaker Projects and SageMaker Pipelines.

Asset Prediction Sagemaker Pipelines Example

Argo Workflows Executor Plugin for AWS Services, e.g. SageMaker Pipelines, Glue, etc.

An end-to-end MLOps pipeline that reads data from PrestoDB to train an ML model and deploy on SageMaker for batch and realtime inference.

An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.

A repo containing end to end sagemaker mlops pipeline for model building

This is a repo to store my implementation and steps using SageMaker (AWS)

This repo automates training of a Deep-AR algorithm using a Sagemaker pipeline.

This repository outlined how to implement MLOps practice on AWS Cloud using Amazon SageMaker.

A repo for setting pipeline for deploying model as sagemaker endpoint

SageMaker Pipelines example

Machine Learning w/ AWS SageMaker Pipelines