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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video-on-demand-on-aws
video-on-demand-on-aws PublicAn automated reference implementation leveraging AWS Step Functions and AWS Media Services to deploy a scalable fault tolerant Video on demand workflow
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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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live-streaming-on-aws
live-streaming-on-aws PublicThe live stream solution is a reference deployment that demonstrates how to deliver highly available live streaming video through an integrated workflow between Elemental Cloud and AWS.
Repositories
- accelerated-intelligent-document-processing-on-aws Public
The IDP Accelerator provides 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-multi-agent-orchestration-using-bedrock-agentcore-on-aws Public
This Guidance demonstrates how to build and deploy multi-agent systems using Amazon Bedrock AgentCore and Strands Agents SDK.
aws-solutions-library-samples/guidance-for-multi-agent-orchestration-using-bedrock-agentcore-on-aws’s past year of commit activity - guidance-for-scalable-game-playtesting-and-qa-on-aws Public
This Guidance demonstrates how game developers can revolutionize their QA and playtesting processes through a comprehensive AWS-based solution.
aws-solutions-library-samples/guidance-for-scalable-game-playtesting-and-qa-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 - 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-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 - video-on-demand-on-aws-foundation Public
How to implement a video-on-demand workflow on AWS leveraging AWS Lambda, AWS Elemental MediaConvert, Amazon s3 and Amazon CloudWatch. Source code for Video on Demand on AWS Foundation solution.
aws-solutions-library-samples/video-on-demand-on-aws-foundation’s past year of commit activity - guidance-for-managing-aws-quotas-through-automation Public
This Guidance shows how to automatically monitor and receive alerts on service quota usage across single or multiple AWS accounts. Effectively managing your AWS service quotas is crucial for maintaining operational continuity and preventing unexpected disruptions to your business-critical applications.
aws-solutions-library-samples/guidance-for-managing-aws-quotas-through-automation’s past year of commit activity - guidance-for-no-code-multi-agent-ai-orchestration-on-aws Public
This Guidance demonstrates how to overcome the complexity and lengthy development cycles of enterprise AI systems through a no-code multi-agent orchestration platform on AWS.
aws-solutions-library-samples/guidance-for-no-code-multi-agent-ai-orchestration-on-aws’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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