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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 708

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

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 480 205

  3. data-lakes-on-aws data-lakes-on-aws Public

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

    Python 471 149

  4. 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 323 160

  5. guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents Public

    This Guidance demonstrates how to implement personalized ecommerce recommendations using Amazon Bedrock Agents.

    Python 210 11

  6. guidance-for-multi-provider-generative-ai-gateway-on-aws guidance-for-multi-provider-generative-ai-gateway-on-aws Public

    This Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gateway based on OpenAI API standards

    HCL 160 28

Repositories

Showing 10 of 264 repositories
  • guidance-for-multi-agent-orchestration-langgraph-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.

    aws-solutions-library-samples/guidance-for-multi-agent-orchestration-langgraph-on-aws’s past year of commit activity
    Python 3 Apache-2.0 0 0 3 Updated Sep 20, 2025
  • 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 93 MIT-0 23 6 2 Updated Sep 19, 2025
  • 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 480 MIT-0 205 25 12 Updated Sep 19, 2025
  • guidance-for-developing-data-and-ai-foundation-with-amazon-sagemaker Public

    DAIVI is a reference solution with IAC modules to accelerate development of Data, Analytics, AI and Visualization applications on AWS using the next generation Amazon SageMaker Unified Studio. The goal of the DAIVI solution is to provide engineers with sample infrastructure-as-code modules and application modules to build their data platforms.

    aws-solutions-library-samples/guidance-for-developing-data-and-ai-foundation-with-amazon-sagemaker’s past year of commit activity
    HCL 32 MIT-0 9 0 2 Updated Sep 19, 2025
  • 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 59 Apache-2.0 51 23 10 Updated Sep 19, 2025
  • 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 1 MIT-0 0 0 0 Updated Sep 18, 2025
  • 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 134 Apache-2.0 70 8 10 Updated Sep 18, 2025
  • 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 36 MIT-0 7 4 3 Updated Sep 18, 2025
  • 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 27 MIT-0 8 8 0 Updated Sep 18, 2025
  • guidance-for-multi-account-outposts-operations-on-aws Public

    This Guidance demonstrates how to effectively manage and optimize Multi-Account AWS Outposts environments through an innovative quota management system

    aws-solutions-library-samples/guidance-for-multi-account-outposts-operations-on-aws’s past year of commit activity
    TypeScript 0 MIT-0 0 0 4 Updated Sep 17, 2025

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