aws-solutions-library-samples
Popular repositories
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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
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guidance-for-media2cloud-on-aws
guidance-for-media2cloud-on-aws PublicGuidance 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 …
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aws-ops-automator
aws-ops-automator Public archiveA solution for automated and scheduled execution of actions on selected AWS resources, including an updated EBS Snapshot Scheduler
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guidance-for-natural-language-queries-of-relational-databases-on-aws
guidance-for-natural-language-queries-of-relational-databases-on-aws PublicDemonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
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guidance-for-custom-search-of-an-enterprise-knowledge-base-on-aws
guidance-for-custom-search-of-an-enterprise-knowledge-base-on-aws Public
Repositories
- 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
- guidance-for-ultra-low-latency-machine-learning-feature-stores-on-aws Public
This Guidance shows how you can build an ultra-low latency online feature store using Amazon ElastiCache for Redis, a fully managed Redis service from AWS, and Feast, an open-source store framework
- osml-cdk-constructs Public
- guidance-for-content-management-using-salesforce-on-aws Public
This Guidance demonstrates how to utilize advanced artificial intelligence (AI) capabilities within your existing Salesforce environment to gain more valuable insights about your customers. It allows you to seamlessly integrate the user-friendly interface of Salesforce with the powerful data storage and processing capabilities of AWS.
- guidance-for-custom-game-backend-hosting-on-aws Public
The AWS Game Backend Framework allows you to integrate your game clients with AWS backend services, with secure scalable identity management and authentication, and integrations to commonly used game platform identity providers and game engines.
- osml-data-intake Public
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- osml-cesium-globe Public
- osml-models Public
- osml-model-runner-test Public