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Sensifai offers action and activity recognition in videos. For example, our basic software recognizes hundreds of activities such as fighting, dancing, playing football, drinking, smoking. In sagemaker platform, you can easily fine-tune this software to recognize new activities and actions by...

Algorithm - Fulfilled on Amazon SageMaker


Text Summarizer solution is an optimal way to tackle the problem of information overload by reducing the size of long documents into a few sentences . Neural-network-based models have the ability to automatically learn the distributed representation for sentences and documents. This summarizer is...

Model Package - Fulfilled on Amazon SageMaker

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Mask Detector - is a real-time computer vision model for detecting the absence of masks or respirators on people. The solution is a tool for ensuring epidemiological safety in laboratories, healthcare facilities, schools and universities, industrial companies, government, military facilities, etc....

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


This algorithm uses a neural network built in Tensorflow to predict anomalies from transaction and/or sensor data feeds. The model outputs predictions and reconstruction errors for the observations that highlight potential anomalies. Using an adjustable lower order basis representation of the...

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


Bitcoin predictor model can help to predict the bitcoin prices based on the time series data. The model is trained with 4 years of data to identify patterns and trends. Tensorflow’s LSTM deep learning model has been used to create the model.

Model Package - Fulfilled on Amazon SageMaker

  • Version 1.0
  • Sold by KNIME

Predicts the binding of a chemical compound to the 5HT6 receptor based on CHEMBL Ki data. Provide the compound smiles data in JSON format. The model uses a simple logistic regression to make the predictions. The model was trained and is deployed using a KNIME workflow (www.knime.com).

Model Package - Fulfilled on Amazon SageMaker


Logistic regression is a method for modeling the relationships between one or more explanatory variables and a categorical variable by expressing the posterior statistical distribution of the categorical variable via linear functions on observed data. If the categorical variable is binary, that is...

Algorithm - Fulfilled on Amazon SageMaker