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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cloud-intelligence-dashboards-framework
cloud-intelligence-dashboards-framework PublicCommand Line Interface tool for Cloud Intelligence Dashboards deployment
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video-on-demand-on-aws
video-on-demand-on-aws PublicAn automated reference implementation leveraging AWS Step Functions and AWS Media Services to deploy a scalable fault tolerant Video on demand workflow
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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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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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live-streaming-on-aws
live-streaming-on-aws PublicThe live stream solution is a reference deployment that demonstrates how to deliver highly available live streaming video through an integrated workflow between Elemental Cloud and AWS.
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 - cloud-intelligence-dashboards-data-collection Public
This Guidance demonstrates how to deploy Cloud Intelligence Dashboards in your AWS environment using AWS CloudFormation templates or command line tools. These pre-built dashboards enable you to drive financial accountability, optimize costs, and track usage goals across their AWS infrastructure.
aws-solutions-library-samples/cloud-intelligence-dashboards-data-collection’s past year of commit activity - guidance-for-claude-code-with-amazon-bedrock Public
This Guidance demonstrates how organizations can implement secure enterprise authentication for Amazon Bedrock using industry-standard protocols and AWS services
aws-solutions-library-samples/guidance-for-claude-code-with-amazon-bedrock’s past year of commit activity - guidance-for-developing-infrastructure-as-code-templates-from-architecture-diagrams-on-aws Public
This Guidance demonstrates how to transform architecture diagrams into Infrastructure as Code (IaC) templates using AI, addressing the challenge of time-consuming manual coding for solutions targeted for AWS deployments.
aws-solutions-library-samples/guidance-for-developing-infrastructure-as-code-templates-from-architecture-diagrams-on-aws’s past year of commit activity - guidance-for-open-source-3d-reconstruction-toolbox-for-gaussian-splats-on-aws Public
The Open Source 3D Reconstruction Toolbox for Gaussian Splats provides an end-to-end, pipeline-based guidance on AWS to reconstruct 3D scenes or objects from images or video inputs.
aws-solutions-library-samples/guidance-for-open-source-3d-reconstruction-toolbox-for-gaussian-splats-on-aws’s past year of commit activity - accelerated-intelligent-document-processing-on-aws Public
The IDP Accelerator provides a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale.
aws-solutions-library-samples/accelerated-intelligent-document-processing-on-aws’s past year of commit activity - guidance-for-aws-deepracer-event-management Public
The AWS DeepRacer Event Manager (DREM) is used to run and manage all aspects of in-person events for AWS DeepRacer, an autonomous 1/18th scale race car designed to test reinforcement learning (RL) models by racing on a physical track.
aws-solutions-library-samples/guidance-for-aws-deepracer-event-management’s past year of commit activity - guidance-for-asynchronous-inference-with-stable-diffusion-on-aws Public
Stable Diffusion is a popular Open Source project for generating images using Gen AI. Building a scalable and cost efficient inference solution is a common challenge. This project shows how to use AWS serverless and container services to build an end-to-end scalable, secure and price effecient asynchronous image generation architecture.
aws-solutions-library-samples/guidance-for-asynchronous-inference-with-stable-diffusion-on-aws’s past year of commit activity - guidance-for-intelligent-application-modernization-explorer Public
This Guidance helps organizations evaluate their current application environments for modernization by using generative AI to analyze tech stacks, identify modernization opportunities, and generate cost estimates. Users upload application data through a web interface and receive AI-powered insights on tech stack similarities, modernization patterns
aws-solutions-library-samples/guidance-for-intelligent-application-modernization-explorer’s past year of commit activity
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