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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 703

  2. cloud-intelligence-dashboards-framework cloud-intelligence-dashboards-framework Public

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 538 245

  3. 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 521 241

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

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

    Python 485 155

  5. qnabot-on-aws qnabot-on-aws Public

    Guidance for QnABot on AWS is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy…

    JavaScript 448 263

  6. guidance-for-claude-code-with-amazon-bedrock 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

    Python 407 161

Repositories

Showing 10 of 352 repositories
  • guidance-for-game-backend-and-infrastructure-agentic-workflows Public

    Multi-agent AI assistant for managing AWS game infrastructure (GameLift, EKS, Cost Explorer) via natural language, powered by Amazon Bedrock AgentCore, Strands Agents, and MCP.

    aws-solutions-library-samples/guidance-for-game-backend-and-infrastructure-agentic-workflows's past year of commit activity
    Python 4 MIT-0 2 109 28 Updated Oct 16, 2026
  • global-capacity-orchestrator-on-aws Public

    AI/ML and HPC at planetary scale. One API. Every Accelerator. Any Region. MIT-0 licensed

    aws-solutions-library-samples/global-capacity-orchestrator-on-aws's past year of commit activity
    Python 50 MIT-0 12 0 0 Updated Oct 16, 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 313 MIT-0 121 22 0 Updated Oct 16, 2026
  • network-orchestration-for-aws-transit-gateway Public

    The Network Orchestration for AWS Transit Gateway solution automates the process of setting up and managing transit networks in distributed AWS environments. It creates a web interface to help control, audit, and approve (transit) network changes.

    aws-solutions-library-samples/network-orchestration-for-aws-transit-gateway's past year of commit activity
    Python 150 Apache-2.0 60 0 1 Updated Oct 16, 2026
  • guidance-for-scalable-game-playtesting-and-qa-on-aws Public

    This Guidance demonstrates how game developers can revolutionize their QA and playtesting processes through a comprehensive AWS-based solution.

    aws-solutions-library-samples/guidance-for-scalable-game-playtesting-and-qa-on-aws's past year of commit activity
    TypeScript 2 MIT-0 2 0 3 Updated Oct 15, 2026
  • guidance-for-multi-region-resilient-microservice-on-aws Public

    This Guidance demonstrates how to build highly resilient web applications that can withstand disruptions, minimizing impact on revenue and application downtime

    aws-solutions-library-samples/guidance-for-multi-region-resilient-microservice-on-aws's past year of commit activity
    Java 9 MIT-0 5 8 1 Updated Oct 14, 2026
  • 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
    Python 83 Apache-2.0 72 18 17 Updated Oct 14, 2026
  • guidance-for-realtime-3d-product-visualization-on-aws Public

    This guidance demonstrates how to integrate real-time 3D product visualization capabilities into websites using Amazon GameLift Streams, enabling businesses to create immersive digital experiences where customers can explore, customize, and interact with products in real-time.

    aws-solutions-library-samples/guidance-for-realtime-3d-product-visualization-on-aws's past year of commit activity
    TypeScript 2 MIT-0 2 0 5 Updated Oct 14, 2026
  • aws-solutions-library-samples/guidance-for-generating-a-bill-of-material-from-blueprints-on-aws's past year of commit activity
    TypeScript 0 MIT-0 1 0 20 Updated Oct 14, 2026
  • 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
    TypeScript 36 MIT-0 44 3 10 Updated Oct 14, 2026