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Key phrase extractor uses end-to-end text extraction pipeline, text analysis and natural language processing techniques to automate key phrases/words extraction from text documents. This solution is based on unsupervised graph-based, topic-based, statistics-based algorithms for the construction of...

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The Hard Hat Detector for Industrial Worker Safety - is a computer vision-driven ML model designed to detect PPE compliance/non-compliance on the factory floor or at the construction site in real time. It analyzes image footage, identifies workers, and checks if they follow safety regulations,...

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Given a content image and a style image, the Neural Style Transfer will transform the content image painted with the style image. This can be used in artwork applications such as logo/icon creation or fabric design generation.

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Indus.ai's Construction Machines Detector can be used to get the exact position of construction site machines within an image. Our detector will give you the bounding box coordinates and class of each machine within your image. You'll be able to detect excavators, trucks, drillrigs, and more!

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Deep Element's AutoML-Matrix is an algorithm which can automatically build state-of-the-art classification models for data presented in a matrix form (or tabular form). AutoML-Matrix is based on proprietary advanced Machine Learning algorithm. This algorithm automates the training pipeline by...

Algorithm - Fulfilled on Amazon SageMaker


Online abuse is increasing day by day and it's becoming a threat in daily life making lot of people around the world daily victims of online harassment. The Abusive Content Detection identifies the comments in your content and classifies according to its severity. This helps detect any harassing or...

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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...

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A Random Forest Algorithm for classification on sparse data set like LibSVM without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.

Algorithm - Fulfilled on Amazon SageMaker


Prosper Insights & Analytics' Fashion Conscious propensity model predicts the probability that a U.S. adult consumer is fashion conscious. Based on a set of basic demographics, the model identifies individuals for whom the newest fashion trends and styles are important. The model was trained with...

Model Package - Fulfilled on Amazon SageMaker