Text Pre-processor solution is an efficient way of automatically cleaning text data to make it ready for further text analytics. The model takes a corpus of text as input file and an optional Stop_Words file for stop words removal and applies NLP to generate a processed output containing tokenized...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_wwm_cased_L-24_H-1024_A-16/2). 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...
Model Package - Fulfilled on Amazon SageMaker
DeepInsights Semantic Triplet Generator is a novel approach of summarizing/converting an unstructured data corpus into query-able triplets of Subject-Predicate-Object using NLP. This creates the basic blocks of Resource Description Framework (RDF) data model which forms the basis of Q&A systems,...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/4). 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...
Model Package - Fulfilled on Amazon SageMaker
This product is an Image Recognition and Classification model from PyTorch Hub. It takes an image as input and classifies the image into one of the multiple labels. How was the model trained? The model available for deployment is pre-trained on ImageNet which comprises images of different...
Model Package - Fulfilled on Amazon SageMaker
Damaged Shipment Prediction model takes images of shipments at various stages of delivery cycle & predicts whether the shipment’s packaging is damaged or not. It can be used by logistics firms to assess damages and identify stages with high risk of incurring damage, optimize the stages and deliver...
Model Package - Fulfilled on Amazon SageMaker
A Gradient Boosted Decision Tree for classification on sparse data set like CSV 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
This is a Natural Language Processing (NLP) based text classification solution that helps identify whether a given consumer complaint requires monetary compensation based on the complaint narrative. A complaint is classified as either requiring monetary relief or if it can be resolved through...
Model Package - Fulfilled on Amazon SageMaker
Detect compromised merchants or terminals faster with improved accuracy so networks can take timely actions to prevent more credit cards from being compromised. Our solution generates prioritized lists of potentially compromised merchants so the network can focus the investigation on the most...
Model Package - 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
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