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aws-solutions-library-samples

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  1. guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker Public

    DeepRacer 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

    Jupyter Notebook 1.3k 705

  2. video-on-demand-on-aws video-on-demand-on-aws Public

    An automated reference implementation leveraging AWS Step Functions and AWS Media Services to deploy a scalable fault tolerant Video on demand workflow

    JavaScript 517 240

  3. cloud-intelligence-dashboards-framework cloud-intelligence-dashboards-framework Public

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 506 227

  4. data-lakes-on-aws data-lakes-on-aws Public

    Enterprise-grade, production-hardened, serverless data lake on AWS

    Python 479 153

  5. fraud-detection-using-machine-learning fraud-detection-using-machine-learning Public

    Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

    Jupyter Notebook 333 166

  6. live-streaming-on-aws live-streaming-on-aws Public

    The 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.

    JavaScript 303 111

Repositories

Showing 10 of 311 repositories
  • 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
    TypeScript 17 MIT-0 3 0 6 Updated Mar 2, 2026
  • 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
    Python 506 MIT-0 227 23 9 Updated Mar 2, 2026
  • guidance-for-rolling-back-changes-to-datasets-in-amazon-s3 Public

    Rollback tool for Amazon S3: Within or across-bucket recovery using S3 Versioning, to a specified point-in-time, at scale

    aws-solutions-library-samples/guidance-for-rolling-back-changes-to-datasets-in-amazon-s3’s past year of commit activity
    11 MIT-0 0 3 0 Updated Mar 2, 2026
  • 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
    Python 158 MIT-0 60 35 20 Updated Mar 2, 2026
  • guidance-for-low-cost-semantic-search-on-aws Public

    This project demonstrates how to build a cost-effective Retrieval-Augmented Generation (RAG) solution using Amazon DynamoDB as a vector store for small use cases, enabling small businesses to implement AI personalization without the high costs typically associated with specialized vector databases.

    aws-solutions-library-samples/guidance-for-low-cost-semantic-search-on-aws’s past year of commit activity
    Python 13 MIT-0 0 0 1 Updated Mar 2, 2026
  • guidance-for-connected-mobility-on-aws Public

    This Guidance demonstrates how to develop and deploy modular services for connected mobility solutions that enable vehicles to receive appropriate configurations throughout their lifecycle.

    aws-solutions-library-samples/guidance-for-connected-mobility-on-aws’s past year of commit activity
    TypeScript 2 MIT 0 0 1 Updated Mar 2, 2026
  • guidance-for-building-agentic-ai-powered-hyper-personalized-customer-experience-on-aws Public

    The CX Hyper Personalization is an AI-powered product recommendation platform providing personalized product suggestions based on customer profiles and intelligent search.

    aws-solutions-library-samples/guidance-for-building-agentic-ai-powered-hyper-personalized-customer-experience-on-aws’s past year of commit activity
    Python 2 MIT-0 2 0 7 Updated Mar 2, 2026
  • guidance-for-multi-region-serverless-batch-applications-on-aws Public

    This Guidance helps customers design a resilient batch process application using AWS services

    aws-solutions-library-samples/guidance-for-multi-region-serverless-batch-applications-on-aws’s past year of commit activity
    Python 18 MIT-0 1 0 2 Updated Mar 1, 2026
  • guidance-for-multi-agent-orchestration-using-bedrock-agentcore-on-aws Public

    This Guidance demonstrates how to build and deploy multi-agent systems using Amazon Bedrock AgentCore and Strands Agents SDK.

    aws-solutions-library-samples/guidance-for-multi-agent-orchestration-using-bedrock-agentcore-on-aws’s past year of commit activity
    Python 7 MIT-0 2 0 5 Updated Mar 1, 2026
  • guidance-for-no-code-multi-agent-ai-orchestration-on-aws Public

    This Guidance demonstrates how to overcome the complexity and lengthy development cycles of enterprise AI systems through a no-code multi-agent orchestration platform on AWS.

    aws-solutions-library-samples/guidance-for-no-code-multi-agent-ai-orchestration-on-aws’s past year of commit activity
    Python 8 MIT-0 4 0 8 Updated Mar 1, 2026
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