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Given an input image, this model will return object coordinates and category predictions. The format of coordinates is encoded as (left, top, right, bottom) of the absolute pixel locations. This model is trained on COCO dataset with 80 common object categories. It can be used as fast and reliable...

Model Package - Fulfilled on Amazon SageMaker


This model provides intermediate image feature extraction functionality for image classification. It can also provide top-5 category predictions out of 1000 classes on ImageNet. This network is one of the fastest models that also provide high accuracy. It also provides high-quality features as...

Model Package - Fulfilled on Amazon SageMaker


This is a demo product from Amazon that showcases the Marketplace experience. It was created using this sample notebook https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb. Decision Trees (DTs) are a...

Algorithm - 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


Based on the dataset and research papers created by Rami M. Mohammad of the School of Computing and Engineering, University of Huddersfield this model uses a range of different website attributes and features to accurately predict whether a website may be a potential phishing site.

Model Package - Fulfilled on Amazon SageMaker


Paraphrase generation is an important yet challenging task of natural language processing (NLP) that seeks to generate a target sentence which has the same or similar meaning with the source sentence. Neural Paraphrase Generation which is trained with the Long Short-term Memory (LSTM) model and...

Model Package - Fulfilled on Amazon SageMaker


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

Algorithm - Fulfilled on Amazon SageMaker

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Sensifai offers automatic audio recognition and tagging. For example, our basic software recognizes hundreds of different sound categories like musical instruments, natural sounds, and machinery audios. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of audios...

Algorithm - Fulfilled on Amazon SageMaker

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Go beyond traditional vehicle recognition systems with Deep Vision APIs. We detect cars and recognize the year, make, model, and the angle of vehicles. Leading e-commerce and media brands utilize Deep Vision APIs to enhance product search and organize large collections of data. Advertisers and...

Model Package - Fulfilled on Amazon SageMaker