This post-pandemic Propensity Model determines the probability that a US adult Drinks Rum. Lift over Random 1.80. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media Behaviors &...
Model Package - Fulfilled on Amazon SageMaker
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Jump start your ability to understand the type of Lower Lumbar risks in your operation. Model output includes bends, twists, lower lumbar score.
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_vgg/). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes....
Model Package - Fulfilled on Amazon SageMaker
This solution takes in the unlabeled dataset and obtains weak labels using BERT based pre-trained model for sentiment classification. It also identifies the errors present in the generated weak labels using confidence learning methods using the predicted probability scores.The output contains...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies the various aspects from online product reviews for USB cables. The following 7 aspects are identified: price, length, build finish, fit, charging, performance and warranty. This enables companies to easily identify which aspects are being reviewed. This information can be...
Model Package - Fulfilled on Amazon SageMaker
ClosedLoop's end to end machine learning platform allows users to go from raw, messy EHR, claims, labs, SDoH, device, and other patient linkable data streams to production deployed predictive models in just 24 hours. The predicted outcome is the probability of an all-cause ED visit in the next 6...
Model Package - Fulfilled on Amazon SageMaker
Model generates output of face bounding boxes from face detection network, labels of head pose, emotion information, and facial landmarks positions for each detected face
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Uses Health Apps. Lift over Random 1.27. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
Effective scheduling for hospital admission is a major challenge as there is uncertainty in patient’s length of stay and large errors in estimations can lead to capacity pressures. To tackle this, Virtusa-GCTS has developed a Deep Learning based solution which will accurately predict how long a...
Model Package - Fulfilled on Amazon SageMaker
This solution is an innovative machine learning model on the AWS that leverages the power of quantum computing for real-time damaged vehicle image classification. This cutting-edge product utilizes a complex algorithm to accurately assess the severity of vehicle damage and classify its level,...
Model Package - Fulfilled on Amazon SageMaker
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