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-low-cost-semantic-search-on-aws Public
This project demonstrates how to build a cost-effective Retrieval-Augmented Generation (RAG) solution using Amazon DynamoDB as a vector store for small use cases, enabling small businesses to implement AI personalization without the high costs typically associated with specialized vector databases.
aws-solutions-library-samples/guidance-for-low-cost-semantic-search-on-aws’s past year of commit activity - guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks Public
Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP
aws-solutions-library-samples/guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks’s past year of commit activity - guidance-for-automated-setup-of-aws-transform-for-vmware Public
Automation to help deploy AWS Transform and streamline the setup process by automating the provisioning of required AWS services, network configurations, and security controls.
aws-solutions-library-samples/guidance-for-automated-setup-of-aws-transform-for-vmware’s past year of commit activity - 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 - 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-building-a-high-performance-numerical-weather-prediction-system-on-aws Public
HPC on AWS removes the long wait times and lost productivity often associated with on-premises HPC clusters. Flexible HPC cluster configurations and virtually unlimited scalability allows you to grow and shrink your infrastructure as your workloads dictate, not the other way around
aws-solutions-library-samples/guidance-for-building-a-high-performance-numerical-weather-prediction-system-on-aws’s past year of commit activity - 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 - guidance-for-medialake-on-aws Public
This Guidance demonstrates how to deploy a media lake, which addresses media management challenges for organizations of all sizes using AWS services and partner integrations.
aws-solutions-library-samples/guidance-for-medialake-on-aws’s past year of commit activity - 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-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
