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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 538 247

  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 521 242

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

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

    Python 484 152

  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 449 262

  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 412 157

Repositories

Showing 10 of 354 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 324 MIT-0 125 30 12 Updated Nov 12, 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 5 MIT-0 2 121 10 Updated Nov 12, 2026
  • aws-solutions-library-samples/guidance-for-automated-content-compliance-with-ai-powered-video-analysis-and-agents-on-aws's past year of commit activity
    TypeScript 1 MIT-0 0 0 6 Updated Nov 12, 2026
  • account-assessment-for-aws-organizations Public

    Guidance for Account Assessment for AWS Organizations programmatically scans all AWS accounts in an AWS Organization for identity-based and resource-based policies with Organization-based conditions.

    aws-solutions-library-samples/account-assessment-for-aws-organizations's past year of commit activity
    Python 47 Apache-2.0 17 1 19 Updated Nov 12, 2026
  • live-streaming-on-aws-with-amazon-s3 Public

    Live streaming on AWS with Amazon S3 automatically configures AWS Elemental MediaLive, Amazon S3 and Amazon CloudFront to ingest, encode, package and deliver a single source live stream through the AWS Cloud. The Solution provides 3 Encoding profiles to support 1080p through 288p HTTP live streaming (HLS) outputs.

    aws-solutions-library-samples/live-streaming-on-aws-with-amazon-s3's past year of commit activity
    JavaScript 126 Apache-2.0 31 0 8 Updated Nov 12, 2026
  • 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.

    aws-solutions-library-samples/live-streaming-on-aws's past year of commit activity
    JavaScript 303 Apache-2.0 108 0 6 Updated Nov 12, 2026
  • aws-solutions-library-samples/guidance-for-enterprise-agentic-ai-platform-on-aws's past year of commit activity
    Python 7 MIT-0 3 7 11 Updated Nov 12, 2026
  • aws-solutions-library-samples/guidance-for-retail-hyper-personalization-on-aws's past year of commit activity
    TypeScript 2 MIT-0 0 0 12 Updated Nov 12, 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 55 MIT-0 11 0 0 Updated Nov 12, 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
    Python 22 MIT-0 8 0 14 Updated Nov 11, 2026