soujanyakonka Goto Github PK

amazon-lookout-for-vision-serverless-app

This project contains source code and supporting files for a serverless application which can be used for detecting defects in products in manufacturing assembly lines, storing inference results and sending real-time email notifications on defect detection.

amazon-neptune-samples

Samples and documentation for using the Amazon Neptune graph database service

amazon-quicksight-user-guide

The open source version of the Amazon Quicksight docs.

amazon-rekognition-engagement-meter

The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting

amazon-rekognition-large-scale-processing

aws-data-mesh-utils

aws-graviton-getting-started

This document is meant to help new users start using the Arm-based AWS Graviton and Graviton2 processors which power the 6th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn)

aws-sagemaker-pytorch-shop-by-style

A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune

clothing-dataset

Closing dataset, all classes

code-rep

content-aws-certified-data-analytics---speciality

DAS-C01 ACG/LA by Brock Tubre and John Hanna

content-dynamodb-deepdive

Amazon DynamoDB Deep Dive Course

lambda-refarch-imagerecognition

The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.

lambdaworkshop2020

This is an intermediate level Lambda Workshop

rekognition-video-process-report

sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

sagemaker_immersionday

smart-shopping-list

Sample demo that shows how to build an AI powered app using Amplify, AppSync, DynamoDB, Cognito and Rekognition.