aws-samples Goto Github PK

aws-map-linkedaccounts

aws-marketplace-api-samples

AWS Marketplace API samples

aws-marketplace-machine-learning

aws-marketplace-metered-container-product

aws-marketplace-serverless-saas-integration

Example of serverless integration for SaaS products listed on the AWS Marketplace.

aws-marketplace-vendor-assessment-onboarding

aws-media-asset-preparation-system

aws-media-replay-engine-samples

** DEPRECATED: Moved to aws-media-replay-engine/samples/ **

aws-media-services-simple-live-workflow

Workshop that covers AWS Elemental MediaLive, MediaPackage, and MediaTailor services

aws-media-services-simple-vod-workflow

Lab that covers video conversion workflow for Video On Demand using AWS MediaConvert.

aws-media-services-tools

A library of scripts for interacting with AWS Media Services and documentation for working with compatible contribution encoders

aws-media-services-vod-automation

Sample code and CloudFormation scripts for automating Video on Demand workflows on AWS

aws-mediaconvert-vod-ambient-captions

aws-medialive-mediapackage-cloudwatch-dashboard

A Python script and CloudFormation template to assist with the creation of CloudWatch Dashboards for AWS Elemental MediaLive to AWS Elemental MediaPackage workflows.

aws-meta-role-checker

aws-microservices-deploy-options

This repo contains a simple application that consists of three microservices. Each application is deployed using different Compute options on AWS.

aws-ml-data-lake-workshop

As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.

aws-ml-enablement-workshop

組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ

aws-ml-jp

SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集

aws-ml-readmission-prediction

aws-ml-vision-end2end

Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases

aws-mlflow-sagemaker-cdk

MLflow on AWS Fargate integrated with Amazon SageMaker.

aws-mlops-jenkins-pipelines

aws-mlops-pipeline

aws-mlops-pipelines-terraform

MLOps on AWS using Amazon SageMaker Pipelines

aws-mlops-sagemaker-multi-region-endpoints

aws-mlu-explain

Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/

aws-mnpbatch-template

Template scripts to setup Docker Images compatible with running on MNP Batch

aws-mobile-appsync-chat-starter-angular

GraphQL starter progressive web application (PWA) with Realtime and Offline functionality using AWS AppSync

aws-mobile-appsync-events-starter-ios

GraphQL starter application with Realtime and Offline functionality using AWS AppSync