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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data-transfer-hub
data-transfer-hub PublicSeamless User Interface for replicating data into AWS.
Repositories
- guidance-for-cost-analysis-and-optimization-with-amazon-bedrock-agents Public
This guidance demonstrates how to build a FinOps agent using Amazon Bedrock's multi-agent capability and Amazon Nova foundation models to provide AWS cost analysis and optimization recommendations.
aws-solutions-library-samples/guidance-for-cost-analysis-and-optimization-with-amazon-bedrock-agents’s past year of commit activity - guidance-for-predicting-player-behavior-with-ai-on-aws Public
This Guidance demonstrates how to implement an automated machine learning pipeline to gain real-time player insights, powered by artificial intelligence (AI). Game studios can leverage this low-code solution to quickly build, train, and deploy high-quality models that predict player behavior using their own gameplay data.
aws-solutions-library-samples/guidance-for-predicting-player-behavior-with-ai-on-aws’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 - security-automations-for-aws-waf-using-terraform Public
This Terraform based guidance automatically deploys a single web access control list (web ACL) with a set of AWS WAF rules designed to filter common web-based attacks.
aws-solutions-library-samples/security-automations-for-aws-waf-using-terraform’s past year of commit activity - guidance-for-multi-agent-orchestration-on-aws Public
Enables developers to build, deploy, and manage multiple specialized agents that work together to tackle complex workflows. Each agent focuses on a specific task, breaks down processes into manageable steps, assigns tasks to the appropriate agents, and ensures accurate, and reliable outcomes.
aws-solutions-library-samples/guidance-for-multi-agent-orchestration-on-aws’s past year of commit activity - automated-forensic-orchestrator-for-amazon-ec2 Public
Automated Forensics Orchestrator for Amazon EC2 is a self-service AWS Solution implementation that enterprise customers can deploy to quickly set up and configure an automated orchestration workflow that enables their Security Operations Centre (SOC) to capture and examine data from EC2 instances and attached volumes as evidence for forensic ana…
aws-solutions-library-samples/automated-forensic-orchestrator-for-amazon-ec2’s past year of commit activity - 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
aws-solutions-library-samples/guidance-for-multi-provider-generative-ai-gateway-on-aws’s past year of commit activity
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