aws-solutions-library-samples
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guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker PublicDeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
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data-lakes-on-aws
data-lakes-on-aws PublicEnterprise-grade, production-hardened, serverless data lake on AWS
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cloud-intelligence-dashboards-framework
cloud-intelligence-dashboards-framework PublicCommand Line Interface tool for Cloud Intelligence Dashboards deployment
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fraud-detection-using-machine-learning
fraud-detection-using-machine-learning PublicSetup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
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data-transfer-hub
data-transfer-hub PublicSeamless User Interface for replicating data into AWS.
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guidance-for-media2cloud-on-aws
guidance-for-media2cloud-on-aws PublicGuidance for Media2Cloud on AWS solution (formerly known as AWS Media2Cloud Solution) is designed to demonstrate a serverless ingest framework that can quickly setup a baseline ingest workflow for …
Repositories
- cloud-intelligence-dashboards-framework Public
Command Line Interface tool for Cloud Intelligence Dashboards deployment
aws-solutions-library-samples/cloud-intelligence-dashboards-framework’s past year of commit activity - guidance-for-automated-restore-and-copy-for-amazon-s3-glacier-objects Public
This Guidance provides an automated workflow to restore archived Amazon Simple Storage Service (Amazon S3) data stored in S3 Glacier Flexible Retrieval and Deep Archive storage classes to a new storage class
aws-solutions-library-samples/guidance-for-automated-restore-and-copy-for-amazon-s3-glacier-objects’s past year of commit activity - guidance-for-intelligent-document-processing-agents-on-aws Public
This demo provides an automated loan application that streamlines document submission, verification, underwriting and approval processes.
aws-solutions-library-samples/guidance-for-intelligent-document-processing-agents-on-aws’s past year of commit activity - guidance-for-processing-overhead-imagery-on-aws Public
This Guidance demonstrates how to process remote sensing imagery using machine learning models that automatically detect and identify objects collected from satellites, unmanned aerial vehicles, and other remote sensing devices
aws-solutions-library-samples/guidance-for-processing-overhead-imagery-on-aws’s past year of commit activity - guidance-for-payment-systems-using-event-driven-architecture-on-aws Public
This guidance focuses on the part of payments processing systems that post payments to recieving accounts. In this phase, inbound transactions are evaluated, have accounting rules applied to them, then are posted into customer accounts.
aws-solutions-library-samples/guidance-for-payment-systems-using-event-driven-architecture-on-aws’s past year of commit activity - guidance-for-integrating-external-single-sign-on-providers-with-amazon-eks Public
This Guidance demonstrates how to automate the deployment of an Amazon Elastic Kubernetes Service (Amazon EKS) cluster for external single sign-on authentication.
aws-solutions-library-samples/guidance-for-integrating-external-single-sign-on-providers-with-amazon-eks’s past year of commit activity - guidance-for-game-analytics-pipeline-on-aws Public
The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.
aws-solutions-library-samples/guidance-for-game-analytics-pipeline-on-aws’s past year of commit activity
