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Logistic regression is a method for modeling the relationships between one or more explanatory variables and a categorical variable by expressing the posterior statistical distribution of the categorical variable via linear functions on observed data. If the categorical variable is binary, that is...

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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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

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The Product Demand Forecasting Solution is a cloud-native predictive analytics ML model that analyzes multiple data points, including historical sales data, inventory data, and growth projections to generate up to 50% more accurate product demand forecasts. The solution is scalable and...

Algorithm - Fulfilled on Amazon SageMaker


Video-based AI that detects degree of COVID-19 facemask policy compliance. Analyzes statistical patterns at scale. See also separate Room Occupancy & Social Distance compliance detection module. Created by Providence Health Care, working with multidisciplinary teams from the University of British...

Model Package - Fulfilled on Amazon SageMaker


An end-to-end source separation in the time-domain. Vocal separation of an input source audio. It uses a convolutional neural network to separate the background music/noise and vocals in an input wav/mp3 audio file. The model package is an adaptation of the U-Net architecture to the one-dimensional...

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A recommender model that learns a matrix factorization embedding based off minimizing the pairwise ranking loss described in the paper.

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This model out-of-the-box detects faces accurately, is deep learning based, and in particular, utilizes the Single Shot Detector (SSD) framework with ResNet as the base network.

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This model classifies images of objects into trash or recyclable (cardboard, glass, paper, aluminum, or plastic) and returns a class probability for images of single objects. It was trained images taken on cell phone images of trash items submitted by Figure Eight contributors all over the world...

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Helmet & Vest Detector for Worker Safety - is a real-time image recognition and classification model for PPE non-compliance detection in the industrial setting. The ML model can be used in manufacturing, construction, steel, oil & gas, and other industrial environments. It detects the absence of...

Model Package - Fulfilled on Amazon SageMaker