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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 706

  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 518 242

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

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 504 223

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

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

    Python 476 154

  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 331 167

  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 303 112

Repositories

Showing 10 of 308 repositories
  • accelerated-intelligent-document-processing-on-aws Public

    This Guidance demonstrates 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
    Jupyter Notebook 188 MIT-0 60 8 5 Updated Feb 11, 2026
  • guidance-for-asynchronous-inference-with-stable-diffusion-on-aws Public

    Stable Diffusion is a popular Open Source project for generating images using Gen AI. Building a scalable and cost efficient inference solution is a common challenge. This project shows how to use AWS serverless and container services to build an end-to-end scalable, secure and price effecient asynchronous image generation architecture.

    aws-solutions-library-samples/guidance-for-asynchronous-inference-with-stable-diffusion-on-aws’s past year of commit activity
    Python 38 MIT-0 7 4 6 Updated Feb 11, 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 5 Updated Feb 11, 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 7 MIT-0 3 0 3 Updated Feb 11, 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 37 MIT-0 9 0 2 Updated Feb 11, 2026
  • guidance-for-live-chat-content-moderation-with-generative-ai-on-aws Public

    This Guidance demonstrates how organizations can implement generative artificial intelligence (AI) services for automated message screening in live chat environments.

    aws-solutions-library-samples/guidance-for-live-chat-content-moderation-with-generative-ai-on-aws’s past year of commit activity
    TypeScript 6 MIT-0 2 0 4 Updated Feb 11, 2026
  • guidance-for-media2cloud-on-aws Public

    Guidance for Media2Cloud on AWS solution (formerly known as AWS Media2Cloud Solution) is designed to demonstrate a serverless ingest framework that can quickly setup a baseline ingest workflow for placing video assets and associated metadata under management control of an AWS customer.

    aws-solutions-library-samples/guidance-for-media2cloud-on-aws’s past year of commit activity
    JavaScript 139 Apache-2.0 70 8 24 Updated Feb 11, 2026
  • guidance-for-multi-agent-orchestration-agent-squad-on-aws Public

    This Guidance demonstrates how to effectively orchestrate multiple specialized AI agents to solve complex customer support challenges through different coordination mechanisms on AWS. Modern customer service environments demand sophisticated handling of multi-step interactions, personalized responses, and seamless access to various data sources.

    aws-solutions-library-samples/guidance-for-multi-agent-orchestration-agent-squad-on-aws’s past year of commit activity
    TypeScript 28 MIT-0 6 0 19 Updated Feb 11, 2026
  • guidance-for-generative-ai-assistant-on-aws Public

    This Guidance shows how to unlock instant insights with a generative AI assistant that transforms content consumption across diverse sources, including web documents, PDFs, media files, and YouTube videos.

    aws-solutions-library-samples/guidance-for-generative-ai-assistant-on-aws’s past year of commit activity
    JavaScript 5 MIT-0 16 0 14 Updated Feb 11, 2026
  • aws-solutions-library-samples/gudiance-for-farm-management-ai-agent-on-aws’s past year of commit activity
    Python 0 MIT-0 0 0 4 Updated Feb 11, 2026