This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_densenet/). 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....
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult watches YouTube Regularly. Lift over Random 1.09. 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
Free Trial
The continuously trained vector autoregressive forecast (CTVARF) model is to forecast large set of time-series based always on the latest updated model trained by the latest available data. The time-series are assumed to be influenced by histories of a set of unobserved factors commonly affecting...
Algorithm - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/efficientdet/d4/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Planning to Purchase Lululemon. Lift over Random 1.90. 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...
Model Package - Fulfilled on Amazon SageMaker
Botnet Detector is a cutting-edge supervised machine learning model specifically trained on network traffic data to detect botnet activity with unparalleled accuracy. Botnets pose a significant threat to networks worldwide, causing damages worth billions. However, with this solution, you can...
Model Package - Fulfilled on Amazon SageMaker
Free Trial
The Clinical De-Identification model is designed to recognize and anonymize PHI in Romanian-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers....
Model Package - Fulfilled on Amazon SageMaker
Predict the likelihood of group insurance plan renewal and the sensitivity to different pricing options. Previous usage of the model generated an estimated annual increase in premiums by $8-9MM across a 16k plan. Using the data input of group plan level data (e.g. coverages and provisions, tenure,...
Model Package - Fulfilled on Amazon SageMaker
Generalized Linear Models (GLM) estimate regression models for outcomes following exponential distributions. In addition to the Gaussian (i.e. normal) distribution, these include Poisson, binomial, and gamma distributions. Each serves a different purpose, and depending on distribution and link...
Algorithm - Fulfilled on Amazon SageMaker
Free Trial
This algorithm performs time series forecasting with the Closed-Form Continuous-Depth (CfC) network. It implements both training and inference from CSV data and supports both CPU and GPU instances. The training and inference Docker images were built by extending the PyTorch 2.1.0 Python 3.10...
Algorithm - Fulfilled on Amazon SageMaker
showing 881 - 890