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
- sample-voice-agent Public
This Guidance provides a sample foundation for building real-time voice AI agents on AWS. It demonstrates how to build a voice assistant that handles phone calls and voice interactions in web and mobile applications via WebRTC.
aws-solutions-library-samples/sample-voice-agent’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 - 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-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-deploying-sap-abap-accelerator-for-amazon-q-developer Public
ABAP Accelerator is an MCP server that helps organizations create, test, document, and transform SAP ABAP code faster and with higher code accuracy.
aws-solutions-library-samples/guidance-for-deploying-sap-abap-accelerator-for-amazon-q-developer’s past year of commit activity - guidance-for-medialake-on-aws Public
This Guidance demonstrates how to deploy a media lake, which addresses media management challenges for organizations of all sizes using AWS services and partner integrations.
aws-solutions-library-samples/guidance-for-medialake-on-aws’s past year of commit activity - guidance-for-media2cloud-on-aws Public
Guidance 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 placing video assets and associated metadata under management control of an AWS customer.
aws-solutions-library-samples/guidance-for-media2cloud-on-aws’s past year of commit activity - guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents Public
This Guidance demonstrates how to implement personalized ecommerce recommendations using Amazon Bedrock Agents.
aws-solutions-library-samples/guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents’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
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