aws-solutions-library-samples
Popular repositories Loading
-
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
-
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
-
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 …
-
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
-
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-migrating-tabular-data-from-amazon-s3-to-s3-tables Public
This solution sets up an automated migration process for moving tables (Apache Iceberg and Hive tables) registered in AWS Glue Table Catalog and stored in Amazon S3 general-purpose buckets to Amazon S3 Table buckets using AWS Step Functions, and Amazon EMR with Apache Spark.
aws-solutions-library-samples/guidance-for-migrating-tabular-data-from-amazon-s3-to-s3-tables’s past year of commit activity - 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
aws-solutions-library-samples/guidance-for-processing-overhead-imagery-on-aws’s past year of commit activity - osml-model-runner-test Public
aws-solutions-library-samples/osml-model-runner-test’s past year of commit activity - guidance-for-automated-geospatial-insights-engine-on-aws Public
This Guidance shows how build an automated geospatial insights engine on AWS to improve supply and demand forecasting and risk management
aws-solutions-library-samples/guidance-for-automated-geospatial-insights-engine-on-aws’s past year of commit activity - guidance-for-datalake-with-sap-and-non-sap-data-on-aws Public
This Guidance demonstrates how to combine and consolidate SAP and non-SAP data from disparate sources using data lakes and machine learning services on AWS.
aws-solutions-library-samples/guidance-for-datalake-with-sap-and-non-sap-data-on-aws’s past year of commit activity - osml-imagery-toolkit Public
aws-solutions-library-samples/osml-imagery-toolkit’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 - osml-model-runner Public
aws-solutions-library-samples/osml-model-runner’s past year of commit activity - guidance-for-collaborative-unified-data-and-ai-development-on-aws Public
This Guidance demonstrates how to use Amazon SageMaker Unified Studio to create a unified development experience for building, deploying, executing, and monitoring end-to-end workflows across AWS data, analytics, and AI/ML services
aws-solutions-library-samples/guidance-for-collaborative-unified-data-and-ai-development-on-aws’s past year of commit activity - guidance-for-secure-blockchain-validation-using-aws-nitro-enclaves Public
This Guidance shows how to deploy a secure, scalable, and cost-efficient blockchain key management solution for blockchain validation workloads like Ethereum 2.0 proof-of-stake networks.
aws-solutions-library-samples/guidance-for-secure-blockchain-validation-using-aws-nitro-enclaves’s past year of commit activity