sagemaker-studio

This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio

使用SageMaker+XGBoost，将时间序列转换为监督学习，完成预测性维护的实践

MLOps workshop with Amazon SageMaker

CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

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

This is an example to demonstrate Amazon SageMaker Data Wrangler capabilities. The workshop showcases entire ML workflow steps for Diabetic Patient Readmission Dataset from UCI.

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.

This solution provides a way to deploy SageMaker Studio in a private and secure environment. The solution integrates with a Custom SAML 2.0 Application as the mechanism to trigger the authentication to Amazon SageMaker Studio with the ability to limit the authorization to specific network environments.

Workshop for running HuggingFace Models on Amazon SageMaker.

A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs