sagemaker-pipelines
There are 1 repository under sagemaker-pipelines topic.
aws-samples / amazon-sagemaker-mlops-workshop
MLOps workshop with Amazon SageMaker
Language:Jupyter Notebook 85Sample datasets and code for operationalizing Amazon Fraud Detector using SageMaker DataWrangler, Feature Store, and Pipelines.
Language:Jupyter Notebook 17Build an MXNet image classification model via SageMaker Pipelines
Language:Jupyter Notebook 8This 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.
Language:Jupyter Notebook 8Asset Prediction Sagemaker Pipelines Example
Language:TypeScript 7greenpau / argo-workflows-aws-plugin
Argo Workflows Executor Plugin for AWS Services, e.g. SageMaker Pipelines, Glue, etc.
Language:Go 5An end-to-end MLOps pipeline that reads data from PrestoDB to train an ML model and deploy on SageMaker for batch and realtime inference.
Language:HTML 4Devalent / aws-realtime-predictions
An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.
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BrenoAV / AWS-SageMaker-Demo
This is a repo to store my implementation and steps using SageMaker (AWS)
Language:Jupyter Notebook 0caseywhorton / deep-ar-mlops-project
This repo automates training of a Deep-AR algorithm using a Sagemaker pipeline.
Language:Python 0gokul-pv / sagemaker-intel-project-modelbuild
A repo containing end to end sagemaker mlops pipeline for model building
Language:PythonA repo for setting pipeline for deploying model as sagemaker endpoint
Language:Pythonnetsatsawat / introduction-to-mlops-on-amazon-sagemaker
This repository outlined how to implement MLOps practice on AWS Cloud using Amazon SageMaker.
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