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Amazon Web Services - Labs's Projects

rds-support-tools icon rds-support-tools

Amazon RDS Support Tools contains utilities, sql, scripts and views which are useful in a RDS environment

realtime-fraud-detection-with-gnn-on-dgl icon realtime-fraud-detection-with-gnn-on-dgl

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

rekognition-image-search-engine icon rekognition-image-search-engine

Reference implementation on building a local image search engine that uses Amazon Rekognition image labels to create an inverted index.

rekognition-video-utils icon rekognition-video-utils

Reference implementation on labeling video frames using Amazon Rekognition. The repo also contains some OpenCV based video utilities for frame extraction and labeling.

remote-monitoring-of-iot-devices icon remote-monitoring-of-iot-devices

This solution creates remote monitoring for IoT device data transmission or data validity. This solution ingests real-time device data from IoT devices to assess the state of each IoT device and send you notifications if there are data transmission issues or out of range data.

renate icon renate

Library for automatic retraining and continual learning

route53-infima icon route53-infima

Library for managing service-level fault isolation using Amazon Route 53.

s3-connector-for-pytorch icon s3-connector-for-pytorch

The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.

s3-managed-download-js icon s3-managed-download-js

The JavaScript SDK Managed Download package can be used for custom S3 downloads. The client can configure options for the Managed Download such as chunk size and number of parts to download concurrently.

sagemaker-debugger icon sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

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