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AWS Samples's Projects

macie-dynamodb-blog icon macie-dynamodb-blog

Repo contains all source code and Cloudformation templates for Macie DynamoDB blog located here https://aws.amazon.com/blogs/security/detecting-sensitive-data-in-dynamodb-with-macie/

mask-rcnn-tensorflow icon mask-rcnn-tensorflow

Fork of Tensorpack to make breaking performance improvements to the Mask RCNN example. Training is approximately 2x faster than the original implementation on AWS.

media-intelligence-in-aws icon media-intelligence-in-aws

Source code for a Media Intelligence Video Analysis solution that can identify specific elements in video content. This layer is the basis for identifying and indexing video analysis elements that in the future can be used for finding specific scenes based on a set of rules.

medical-transcription-analysis icon medical-transcription-analysis

Medical Transcription Analysis (MTA) demonstrates how the integration of Amazon Comprehend Medical and Amazon Transcribe Medical can be used to transcribe audio data, extract key medical components and tag the data to their corresponding entities. Automating the medical transcription and comprehension process makes it easier for health care professionals to focus on patient care.

mgn-server-migration-demo icon mgn-server-migration-demo

CloudFormation template and demo instructions on how to migrate a web server to a new EC2 instance using Application Migration Service (MGN).

microservices-dotnet-aws-cdk icon microservices-dotnet-aws-cdk

This repository contains a sample implementation of Fanout Architecture using .NET6 Worker Services to process messages from Amazon SNS Topic and Amazon SQS Queue. Since the Worker Services would have no UI, to operate this solution, you need Observability implemented. In this repository, you can also find sample .NET Observability implementation using the combination of AWS X-Ray and Amazon CloudWatch. To provision this solution, you can use AWS CDK to implement your modern Infrastructure as Code, using .NET C# to provision all AWS Resources your application needs.

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