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)

A repo for setting pipeline for deploying model as sagemaker endpoint

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

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.

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

Machine Learning w/ AWS SageMaker Pipelines

SageMaker Pipelines example

Asset Prediction Sagemaker Pipelines Example

Build an MXNet image classification model via SageMaker Pipelines

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.

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.

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

MLOps workshop with Amazon SageMaker