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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 704

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

    Command Line Interface tool for Cloud Intelligence Dashboards deployment

    Python 524 231

  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 517 239

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

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

    Python 481 157

  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 337 166

  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 316 121

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