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amazon-sagemaker-scikit-learn-pipelines

amazon-sagemaker-script-mode

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

amazon-sagemaker-script-mode-with-debugger

How to perform training on Amazon SageMaker using SageMaker's script mode and debug using Amazon SageMaker Debugger.

amazon-sagemaker-secure-mlops

amazon-sagemaker-sentence-similarity-hugging-face

Solving sentence similarity problem using pre-trained HuggingFace Models using Amazon SageMaker.

amazon-sagemaker-shadow-deploy

amazon-sagemaker-spleen-image-segmentation

Amazon Sagemaker para segmentación semántica de imagenes médicas

amazon-sagemaker-statistical-simulation-rstudio

This is a solution that allows you to offload a resource intensive Monte-Carlo simulation to more powerful machines on Amazon SageMaker, while still being able to develop your scripts in your RStudio IDE.

amazon-sagemaker-stock-prediction-archived

Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.

amazon-sagemaker-studio-audit

amazon-sagemaker-studio-lab-cold-start-forecasting-using-autogluon

amazon-sagemaker-studio-secure-data-science-workshop

Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to perform machine learning tasks securely with Amazon SageMaker Studio.

amazon-sagemaker-studio-secure-sso

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.

amazon-sagemaker-studio-vpc-blog

amazon-sagemaker-studio-vpc-networkfirewall

This solution demonstrates the setup and deployment of Amazon SageMaker Studio into a private VPC and implementation of multi-layer security controls, such as data encryption, network traffic monitoring and restriction, usage of VPC endpoints, subnets and security groups, IAM resource policies.

amazon-sagemaker-tensorflow-object-detection-api

Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker

amazon-sagemaker-tensorflow-serving-grpc

amazon-sagemaker-time-series-prediction-using-gluonts

amazon-sagemaker-to-aws-lambda-pipeline-blogpost

In this post, we will discuss how to implement an automatic pipeline to deploy your model trained with SageMaker to an AWS Lambda. You will find a demo regarding how to integrate these two services

amazon-sagemaker-training-jobs-benchmarks

amazon-sagemaker-tsp-deep-rl

train, deploy, and make inferences using deep reinforcement learning to solve the Travelling Salesperson Problem

amazon-sagemaker-tuneranalytics-samples

SageMaker Tuning Job Analytics demo

amazon-sagemaker-unity-game-simulation

amazon-sagemaker-visual-search

This repository is part of a blog post that guides users through creating a visual search application using Amazon SageMaker and Amazon Elasticsearch service

amazon-sagemaker-visual-transformer

Implementation of Image Classification using Visual Transformers in Amazon SageMaker based on the ideas from research paper - Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

amazon-sagemaker-workshop-analytics-machine-learning

amazon-sagemaker-workshop-for-huggingface

Workshop for running HuggingFace Models on Amazon SageMaker.

amazon-sagemaker-xgboost-regression-model-hosting-on-amazon-ecs-fargate-and-amazon-api-gateway

How to train a XGBoost regression model on Amazon SageMaker, host inference on a Docker container running on Amazon ECS on AWS Fargate and optionally expose as an API with Amazon API Gateway.

amazon-sagemaker-xgboost-regression-model-hosting-on-aws-app-runner

How to train a XGBoost regression model on Amazon SageMaker and host inference as an API on a Docker container running on AWS App Runner.

amazon-sagemaker-xgboost-regression-model-hosting-on-aws-lambda-and-amazon-api-gateway

How to train a XGBoost regression model on Amazon SageMaker, host inference on a serverless function in AWS Lambda and optionally expose as an API with Amazon API Gateway