aws-solutions-library-samples
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guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker PublicDeepRacer 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
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cloud-intelligence-dashboards-framework
cloud-intelligence-dashboards-framework PublicCommand Line Interface tool for Cloud Intelligence Dashboards deployment
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data-lakes-on-aws
data-lakes-on-aws PublicEnterprise-grade, production-hardened, serverless data lake on AWS
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fraud-detection-using-machine-learning
fraud-detection-using-machine-learning PublicSetup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
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guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents
guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents PublicThis Guidance demonstrates how to implement personalized ecommerce recommendations using Amazon Bedrock Agents.
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guidance-for-multi-provider-generative-ai-gateway-on-aws
guidance-for-multi-provider-generative-ai-gateway-on-aws PublicThis Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gateway based on OpenAI API standards
Repositories
- 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 - guidance-for-processing-overhead-imagery-on-aws Public
This Guidance demonstrates how to process remote sensing imagery using machine learning models that automatically detect and identify objects collected from satellites, unmanned aerial vehicles, and other remote sensing devices
aws-solutions-library-samples/guidance-for-processing-overhead-imagery-on-aws’s past year of commit activity - 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 - guidance-for-securing-sensitive-data-in-rag-applications-using-amazon-bedrock Public
This AWS Guidance provides a comprehensive security framework for Retrieval Augmented Generation (RAG) applications handling sensitive data. It addresses security challenges in generative AI by implementing two key architecture patterns: data redaction and role-based access control
aws-solutions-library-samples/guidance-for-securing-sensitive-data-in-rag-applications-using-amazon-bedrock’s past year of commit activity - 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 - guidance-for-american-sign-language-3d-avatar-translator-on-aws Public
Solutions Guidance for American Sign Language 3D Avatar Translator on AWS
aws-solutions-library-samples/guidance-for-american-sign-language-3d-avatar-translator-on-aws’s past year of commit activity - guidance-for-workforce-management-using-amazon-bedrock Public
This Guidance shows how to enhance workforce management through AI-driven automation and real-time intelligence. It demonstrates how to provide staff with quick access to relevant insights, enabling more informed decision-making
aws-solutions-library-samples/guidance-for-workforce-management-using-amazon-bedrock’s past year of commit activity - guidance-for-faster-amazon-ec2-autoscaling-with-target-tracking Public
To enable the fasteFaster EC2 auto-scaling using metrics published at sub-minute granularity to Amazon CloudWatch (also known as "high-resolution CloudWatch metrics")
aws-solutions-library-samples/guidance-for-faster-amazon-ec2-autoscaling-with-target-tracking’s past year of commit activity - 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
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