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-aws-deepracer-event-management Public
The AWS DeepRacer Event Manager (DREM) is used to run and manage all aspects of in-person events for AWS DeepRacer, an autonomous 1/18th scale race car designed to test reinforcement learning (RL) models by racing on a physical track.
- real-time-analytics-spark-streaming Public
A solution describing data-processing design pattern for streaming data through Kinesis and Spark Streaming at real-time.
- guidance-for-machine-learning-inference-on-aws Public
This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale
- 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.
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- 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
- osml-cdk-constructs Public
- osml-tile-server Public
- guidance-for-incremental-data-exports-on-aws Public
This Guidance demonstrates a robust approach to incrementally export and maintain a centralized data repository reflecting ongoing changes in a distributed database.
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