Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Amazon SageMaker Local Mode Examples

Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

Example task UIs for Amazon SageMaker Ground Truth

Japanese translation of Amazon SageMaker Examples and other original sample codes, which will be used in Amazon SageMaker hands-on workshops in Japan.

Amazon SageMaker AI collection of examples, code samples and recipes.

MLOps example using Amazon SageMaker Pipeline and GitHub Actions

This is a short example showing how to utilize Amazon SageMaker's real time endpoints with OpenAI's open source Whisper model for audio transcription.

amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS services.

A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative AI chatbot.

Amazon SageMaker Managed Spot Training Examples

This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.

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Amazon SageMaker examples with Japanese comments: SageMakerのサンプルです

Examples for using AI21's models through Amazon SageMaker

Examples for using Amazon SageMaker components in Kubeflow Pipelines

Deployment code for image generative AI and other related image based tasks.

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Examples showing use of NGC containers and models withing Amazon SageMaker

Recommendation engine example notebook using Amazon SageMaker and Factorization Machines

End-to-End examples that show how to solve business problems using Amazon SageMaker and it's ML/DL algorithm.

Use Terraform to set up infrastructure described in AWS's example of fraud detection with SageMaker. https://docs.aws.amazon.com/solutions/latest/fraud-detection-using-machine-learning/architecture.html

Example project showing how you can use your fast.ai based scripts to let Amazon SageMaker perform the training and hosting of your models. Was used as part of the AWS re:Invent 2018 Chalk Talk

Examples for using Amazon SageMaker Operators for Kubernetes

This example shows how to build a serverless anomaly detection tool using Amazon SageMaker, AWS Step Functions, AWS Lambda, Amazon CloudWatch and Java.

A collection of examples and resources for operationalizing GenAI and ML workloads on Amazon SageMakerAI with integrated SageMaker-managed MLflow and Amazon Bedrock.

Example of Amazon SageMaker Ground Truth and Amazon Comprehend Custom NER

Example how to deploy FLAN-T5-XXL on Amazon SageMaker