This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/pubmed/1). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on...
Model Package - Fulfilled on Amazon SageMaker
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KanjuTech's Speech Language Detection model ensures secure end-to-end real-time language identification. The model accurately detects language based on 3 words. The whole model processing takes about 400ms on ml.g4dn.xlarge instance. Following AWS's secure policy, only users can access processed...
Model Package - Fulfilled on Amazon SageMaker
Text n-gram analyser finds meaningful and frequent n-grams in the provided text. An n-gram is a contiguous sequence of n terms from a given sample of text. Currently, this module provides bigrams, trigrams and four-grams with their corresponding number of frequent occurrences in the text. These...
Model Package - Fulfilled on Amazon SageMaker
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Glaucoma is characterized by dysfunction and loss of retinal ganglion cells (RGCs), with resulting structural changes to the optic nerve head, as well as loss of the visual field. This machine learning models predicts the diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and...
Model Package - Fulfilled on Amazon SageMaker
Increasing credit lines encourages clients to spend more money with their credit card. This model periodically checks the potential to increase the credit line but not to take on risk if the client cannot pay the bill. Line sensitivity model and risk guardrail policy applied to develop model-driven...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_resnext/). 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....
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A Gradient Boosted Decision Tree 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.
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The PPE Detector for Laboratory Safety - is a real-time computer vision model for identifying PPE non-compliance in a laboratory or healthcare facilities or life science manufacturing sites. Trained on the dataset manually selected and annotated by VITech Lab team. It works with live footage from...
Model Package - Fulfilled on Amazon SageMaker
This solution empirically measures demand fulfillment potential of a geographical region through multi-criteria decision making and provides market attractiveness scores. The output will be scores (between 0-1) for each region. Higher score signifies higher demand fulfillment in a market. This can...
Model Package - Fulfilled on Amazon SageMaker
Trailer Capacity Prediction model takes images of open containers being loaded/unloaded as input and classifies them into categories - quarter, half or fully packed. It can be used to plan container loading/unloading and optimize/automate warehouse operations which in turn reduces truck waiting...
Model Package - Fulfilled on Amazon SageMaker
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