Synthetic Data is pertinent to deriving business insights without compromising on privacy. Synthetic Data Evaluation is a process to audit your synthetic data for ensuring high utility and privacy in downstream usecases. The evaluation is done on attribute similarity (statistical similarity,...
Model Package - Fulfilled on Amazon SageMaker
Classifies the whole scene of a 360 image within 365 classes. Additionally, it provides center-of-attention maps for each class and measures the likelihood that attributes (natural, open-space, vegetation, etc..) are represented within a scene. Finallty, it decides whether a scene is indoors or...
Model Package - Fulfilled on Amazon SageMaker
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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...
Model Package - Fulfilled on Amazon SageMaker
Vehicle loan lead identifier model uses Natural Language Processing to identify potential leads for vehicle loan. This model takes text input like individual tweets, comments or any other text expression to predict a potential lead.
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/retinanet/resnet152_v1_fpn_1024x1024/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and...
Model Package - Fulfilled on Amazon SageMaker
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Fast offline object detection using SSD or Yolo on batches of videos for offline processing and video analytics.
Algorithm - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a China adult consumer enjoys a specific leisure time activity. Based on a set of basic demographics, the model identifies individuals who are likely to participate in the activity. The model was trained with data from...
Model Package - Fulfilled on Amazon SageMaker
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A powerful tool that delivers unmatched accuracy and efficiency, specifically built to handle the complexities of medical terminology. This model was rigorously tested against leading services and baselines. The results speak for themselves: - Higher BLEU scores in medical translations compared to...
Model Package - Fulfilled on Amazon SageMaker
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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
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