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Machine Learning (3317 results) showing 1901 - 1910


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Sensifai offers sport recognition in videos. For example, our basic software recognizes hundreds of sport activities such as soccer, basketball and tennis. In sagemaker platform, you can easily fine-tune this software to recognize new sports and sport activities by providing the required training...

Algorithm - Fulfilled on Amazon SageMaker

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jina-embeddings-v2-base-zh is an open-source bilingual Chinese-English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as document clustering, classification, content personalization, vector search, or retrieval augmented...

Model Package - Fulfilled on Amazon SageMaker

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A Gradient Boosted Decision Tree for regression on sparse data set like LibSVM 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.

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This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/bit/m-r50x3/imagenet21k_classification/1). 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-21k which comprises...

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Grid Dynamics provides a service offering for AWS Supply Chain that includes supply chain operational and technology strategy consulting, implementation services, and specialized value-add tools. The service offering aims at delivering the following benefits to the client: Create an operational...


This post-pandemic Propensity Model determines the probability that a US adult uses Marijuana Edibles. Lift over Random 1.54. 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


UST’s technical team offers a Generative AI Technical Readiness Assessment, providing a structured framework to assess your organization's capacity to deploy and optimize generative AI models within AWS environments. This assessment delves into technical prerequisites, specific use case...


An explicit feedback matrix factorization model. Uses a classic matrix factorization approach, with latent vectors used to represent both users and items. Their dot product gives the predicted score for a user-item pair.

Algorithm - Fulfilled on Amazon SageMaker