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 533 239

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 520 240

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

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

   Python 483 156

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 395 152

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