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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 1.2k 703

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

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 532 238

  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 520 241

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

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

    Python 482 155

  5. 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 391 152

  6. 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 342 166

Repositories

Showing 10 of 336 repositories
  • 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 285 MIT-0 105 6 7 Updated Aug 5, 2026
  • 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 1 17 2 Updated Aug 5, 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 42 3 4 Updated Aug 5, 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 4 8 0 Updated Aug 5, 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 391 MIT-0 152 10 9 Updated Aug 5, 2026
  • aws-solutions-library-samples/guidance-for-ev-digital-twin-ai-powered-operational-monitoring's past year of commit activity
    JavaScript 1 MIT 0 0 8 Updated Aug 5, 2026
  • automated-forensic-orchestrator-for-amazon-ec2 Public

    Automated Forensics Orchestrator for Amazon EC2 and EKS is a self-service AWS Guidance implementation that enterprise customers can deploy to quickly set up and configure an automated orchestration workflow that enables their Security Operations Centre (SOC) to capture & examine forensic data from EKS & EC2 instances and attached volumes

    aws-solutions-library-samples/automated-forensic-orchestrator-for-amazon-ec2's past year of commit activity
    Python 72 Apache-2.0 12 1 10 Updated Aug 5, 2026
  • aws-solutions-library-samples/secure-media-delivery-at-the-edge-on-aws's past year of commit activity
    TypeScript 24 Apache-2.0 11 0 17 Updated Aug 5, 2026
  • sample-ai-assisted-call-center-agent-training Public

    AI-powered voice training system for call center agents using Amazon Nova 2 Sonic. Deploy as a standalone web application or integrate with Amazon Connect AI Agents for realistic customer simulations.

    aws-solutions-library-samples/sample-ai-assisted-call-center-agent-training's past year of commit activity
    TypeScript 11 MIT-0 2 0 1 Updated Aug 4, 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 47 MIT-0 11 0 9 Updated Aug 4, 2026

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