Life event detection is a machine learning based psychological data analysis solution which currently works on social media data. It can detect total 23 categories as life events, such as : 'relationship', 'exam', 'marriage', 'death', 'awards', 'birthday', 'sick', 'courtCase', 'event' etc. This...
Model Package - Fulfilled on Amazon SageMaker
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Provectus Social Distancing Detector fits well into video analytic workloads for businesses that are to minimize disease transmission risks, gather data for decision-making processes, and ensure adequate personal space for their employees and clients. The solution performs isomorphic analysis by...
Model Package - Fulfilled on Amazon SageMaker
Machine learning based solution used to monitor ACH wire transfers, determine fraudulent transactions and provide reasons to flag transactions. A fraud risk score is calculated to ensure transfers are only initiated by the account owner. To preview our machine learning models, please Continue to...
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
This post-pandemic Propensity Model determines the probability that a US adult uses Video Conferencing for School. Lift over Random 2.78. 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 Prosper's...
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This model is specialized on 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,...
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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...
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This post-pandemic Propensity Model determines the probability that a US adult Drinks Craft Beer. Lift over Random 1.84. 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 Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/sshleifer/distilbart-xsum-12-3). The deployed model can be used for running inference on any English input text.
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Versace. Lift over Random 2.31. 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 Prosper's US...
Model Package - Fulfilled on Amazon SageMaker
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