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Sample Jupyter Notebooks for Amazon Augmented AI (A2I)
This repository contains sample Jupyter notebooks for Amazon Augmented AI (A2I).
Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.
Check out our more than 70 prebuilt UIs, here: https://github.com/aws-samples/amazon-a2i-sample-task-uis
Amazon Augmented AI (A2I) and Amazon Translate
Amazon Augmented AI (A2I) and Amazon Comprehend DetectSentiment
Amazon A2I with Amazon SageMaker Model Monitor
Amazon A2I with Amazon Rekognition Custom Labels
Amazon Augmented AI (A2I) and Amazon Rekognition DetectModerationLabels
Amazon A2I with Amazon SageMaker for object detection and model retraining
Amazon Augmented AI (A2I) and Amazon Textract AnalyzeDocument
Amazon Augmented AI (A2I) Integration with tabular data
This sample code is made available under the MIT-0 license. See the LICENSE file.
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