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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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-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-modernizing-electric-vehicle-charging-on-aws
guidance-for-modernizing-electric-vehicle-charging-on-aws PublicThis guidance demonstrates how the OCPP Gateway acts as a proxy between OCPP and MQTT, enabling integration with AWS IoT Core and downstream CPO services built on AWS.
Repositories
- guidance-for-automated-provisioning-of-application-ready-amazon-eks-clusters Public
The EKS workload accelerator is a collection of reference implementations for Amazon EKS designed to accelerate the time it takes to provision a workload ready EKS cluster. It includes an "opinionated" set of pre-configured and integrated tools/add-ons, and best practices to support core capabilities including Autoscaling, Observability, Networking
aws-solutions-library-samples/guidance-for-automated-provisioning-of-application-ready-amazon-eks-clusters’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 - 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.
aws-solutions-library-samples/guidance-for-custom-game-backend-hosting-on-aws’s past year of commit activity - guidance-for-game-analytics-pipeline-on-aws Public
The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.
aws-solutions-library-samples/guidance-for-game-analytics-pipeline-on-aws’s past year of commit activity - osml-tile-server Public
aws-solutions-library-samples/osml-tile-server’s past year of commit activity - guidance-for-game-server-hosting-using-agones-and-open-match-on-amazon-eks Public
This guidance provides code and instructions to create a multi Kubernetes cluster environment to host a match making and game server solution, integrating Open Match, Agones and Amazon Elastic Kubernetes Service (Amazon EKS), for a session-based multiplayer game.
aws-solutions-library-samples/guidance-for-game-server-hosting-using-agones-and-open-match-on-amazon-eks’s past year of commit activity - guidance-for-custom-search-of-an-enterprise-knowledge-base-with-amazon-opensearch-service Public
This Guidance demonstrates how to build an application for search based on the information in an enterprise knowledge base through the deployment of interface nodes, including large language models (LLMs).
aws-solutions-library-samples/guidance-for-custom-search-of-an-enterprise-knowledge-base-with-amazon-opensearch-service’s past year of commit activity - guidance-for-media-provenance-with-c2pa-on-aws Public
This Guidance demonstrates how to run the Coalition for Content Provenance and Authenticity (C2PA) standard for tracking provenance with media workloads on AWS.
aws-solutions-library-samples/guidance-for-media-provenance-with-c2pa-on-aws’s past year of commit activity - guidance-for-multimodal-data-processing-using-amazon-bedrock-data-automation Public
This Guidance shows how Amazon Bedrock Data Automation streamlines the generation of valuable insights from unstructured multimodal content such as documents, images, audio, and videos through a unified multi-modal inference API.
aws-solutions-library-samples/guidance-for-multimodal-data-processing-using-amazon-bedrock-data-automation’s past year of commit activity - guidance-for-automated-querying-of-amazon-s3-logs-with-amazon-athena Public
The Guidance demonstrates an automated workflow for users to easily query and identify requests from various Amazon Simple Storage Service (Amazon S3) related logs. The workflow uses Amazon Athena, a serverless query service, to enable users to run SQL queries against the log data and identify potential security or operational issues.
aws-solutions-library-samples/guidance-for-automated-querying-of-amazon-s3-logs-with-amazon-athena’s past year of commit activity
