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Solar Embedding Large is a powerful multilingual embedding model offering robust performance across multiple languages, including English, Korean, Japanese, and more. It's specifically fine-tuned for retrieval tasks, significantly enhancing multilingual retrieval results. This model is divided into...
Model Package - Fulfilled on Amazon SageMaker
This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text...
Model Package - Fulfilled on Amazon SageMaker
In poisoning attack, attacker designed noises- such as variables value changes, label changes- are induced to the training data to test fidelity and robustness of model training. The model trained on such adverse dataset could systematically result in model vulnerability issues. For example, in...
Algorithm - Fulfilled on Amazon SageMaker
The Diabetic retinopathy detector is an image analysis and anomaly detection model that identifies and classifies diabetic anomalies in eye screens. It scales eye screening and helps doctors detect signs of diabetic retinopathy. As all screens are ranked by severity, doctors can address urgent...
Model Package - Fulfilled on Amazon SageMaker
Use NeoPulse® to build models for most types of machine learning problems including, but not limited to, sentiment analysis, object detection, object recognition, classification and regression. Novices and experts can easily create AI models, using custom data, with as little as 14 lines of code in...
Algorithm - Fulfilled on Amazon SageMaker
Aspect Based Employee Sentiment Analyzer identifies positive or negative sentiments in employee reviews for specific aspects. The aspects include career opportunities, compensation and benefits, work life balance, work culture, and leadership. It automates the manual effort to analyze employee...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/tf2-preview/inception_v3/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 images...
Model Package - Fulfilled on Amazon SageMaker
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This model is specialized in health-related text analysis in colloquial language within the domain of Public Health and Voice of Patients. It is designed to identify and extract various entities such as Diagnosis, Treatments, Tests, Psychological Conditions, Relationship Status, Symptoms,...
Model Package - Fulfilled on Amazon SageMaker
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This SageMaker model package provides a REST api to detect named entities in US English sentences. The API accepts input as JSON and identifies entities in an input text array. We welcome your feedback at aws-support@sigmodata.com. To see a notebook with usage instructions go to...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Louis Vuitton. Lift over Random 2.11. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from...
Model Package - Fulfilled on Amazon SageMaker
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