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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 1.2k 704

  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 515 240

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

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 510 229

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

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

    Python 478 153

  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 302 111

Repositories

Showing 10 of 314 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
    Python 510 MIT-0 229 24 12 Updated Mar 24, 2026
  • 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
    Python 222 MIT-0 12 0 1 Updated Mar 24, 2026
  • 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
    TypeScript 40 MIT-0 8 0 4 Updated Mar 23, 2026
  • guidance-for-advertising-agents-on-aws Public

    This guidance demonstrates how to deploy a comprehensive agentic application for advertising workflows using Amazon Bedrock AgentCore. The solution showcases advanced multi-agent collaboration across the entire advertising value chain - from strategic media planning and audience targeting to real-time bid optimization and publisher revenue manageme

    aws-solutions-library-samples/guidance-for-advertising-agents-on-aws’s past year of commit activity
    TypeScript 11 MIT-0 5 1 1 Updated Mar 23, 2026
  • 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
    Python 213 MIT-0 76 7 2 Updated Mar 23, 2026
  • guidance-for-multimodal-data-processing-using-amazon-bedrock-data-automation Public

    This Guidance shows how Amazon Bedrock Data Automation streamlines the generation of valuable insights from unstructured multimodal content such as documents, images, audio, and videos through a unified multi-modal inference API.

    aws-solutions-library-samples/guidance-for-multimodal-data-processing-using-amazon-bedrock-data-automation’s past year of commit activity
    Python 60 MIT-0 21 2 3 Updated Mar 23, 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 1 Updated Mar 23, 2026
  • guidance-for-agentic-data-analyst-using-amazon-bedrock-agentcore-on-aws Public
    aws-solutions-library-samples/guidance-for-agentic-data-analyst-using-amazon-bedrock-agentcore-on-aws’s past year of commit activity
    Python 0 MIT-0 0 0 0 Updated Mar 23, 2026
  • guidance-for-custom-game-backend-hosting-on-aws Public

    The AWS Game Backend Framework allows you to integrate your game clients with AWS backend services, with secure scalable identity management and authentication, and integrations to commonly used game platform identity providers and game engines.

    aws-solutions-library-samples/guidance-for-custom-game-backend-hosting-on-aws’s past year of commit activity
    Python 60 MIT-0 24 1 9 Updated Mar 23, 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 185 MIT-0 71 47 28 Updated Mar 22, 2026
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