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The PPE Detector for Worker Safety - is a real-time image recognition and classification model for PPE monitoring in industrial settings. Trained on a synthetic dataset of 100,000 images, it analyzes live footage from high-resolution cameras to identify workers wearing protective gear. The solution...

Model Package - Fulfilled on Amazon SageMaker


This algorithm uses the scikit learn framework to predict hospital readmissions from EMR data, DRGs and billing data. The model predicts the probability that a patient will return to the hospital within a certain time period(30 days) or not. The predicted output is the % chance that the patient...

Algorithm - Fulfilled on Amazon SageMaker


BigDL is a distributed deep learning library created specifically to train and use deep learning models in Apache Spark; No additional hardware is required. You write and run deep learning applications as standard Spark programs.

Algorithm - Fulfilled on Amazon SageMaker

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Provectus Social Distancing Detector fits well into video analytic workloads for businesses that are to minimize disease transmission risks, gather data for decision-making processes, and ensure adequate personal space for their employees and clients. The solution performs isomorphic analysis by...

Model Package - Fulfilled on Amazon SageMaker

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Mask Detector - is a real-time computer vision model for detecting the absence of masks or respirators on people. The solution is a tool for ensuring epidemiological safety in laboratories, healthcare facilities, schools and universities, industrial companies, government, military facilities, etc....

Model Package - Fulfilled on Amazon SageMaker


This model will generate lyrics for your next Billboard-topping single. It was trained on a corpus of songs of 139 artists, including those of many of the 100 most popular artists in America. The API takes two inputs: an artist name and seed words that the song could start with and will generate a...

Model Package - Fulfilled on Amazon SageMaker

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  • Sold by KNIME

Predicts the sentiment of forum reviews. Provide the text in JSON format. The model was trained using an open dataset of airline reviews. The model is deployed using a KNIME workflow (www.knime.com).

Model Package - Fulfilled on Amazon SageMaker


In this algorithm we'll be applying deep learning techniques to the task of sentiment analysis. Sentiment analysis can be thought of as the exercise of taking a sentence, paragraph, document, or any piece of natural language, and determining whether that text's emotional tone is positive or...

Algorithm - Fulfilled on Amazon SageMaker