AWS Marketplace
Category: Artificial Intelligence
Using TorchServe to list PyTorch models at scale in AWS Marketplace
Recently, AWS announced the release of TorchServe, a PyTorch open-source project in collaboration with Facebook. PyTorch is an open-source machine learning framework created by Facebook, which is popular among ML researchers and data scientists. Despite its ease of use and “Pythonic” interface, deploying and managing models in production is still difficult as it requires data scientists to […]
How to automate Personal Protective Equipment monitoring for healthcare and life science workplaces
By guest authors Anton Chudaev, DevOps Competence Manager at VITech, Yevheniia Minaieva, Product marketing lead at VITech Lab, and Dmitry Spodarets, Head of VITech Lab When managing Personal Protective Equipment (PPЕ) compliance, temporary absence of safety engineers and human fatigue can lead to unnoticed safety rule breaches. VITech Lab offers a solution to help healthcare […]
How to try a product demo of a machine learning model from AWS Marketplace without subscribing to it
During my interactions, I hear feedback from builders on how they are looking to test drive machine learning (ML) models quickly. AWS Marketplace makes it easy to find, try, buy, and deploy ML models, which are deployed using Amazon SageMaker. I’m pleased to announce that the Try Product demo feature is now available. This feature lets […]
Using machine learning to support healthcare during a pandemic
This post describes winning solutions from the AWS Marketplace Machine Learning Challenge hackathon. Other winners created solutions using machine learning to stay connected and to automate tasks and increase personalization. Introduction The AWS Marketplace Machine Learning (ML) team recently hosted a ML hackathon on The DevPost Platform, AWS Marketplace Developer Challenge: ML-Powered Solutions. A hackathon […]
Using machine learning to automate tasks and increase personalization
This post describes winning solutions from the AWS Marketplace Machine Learning Challenge hackathon. Other winners created solutions using machine learning to stay connected and to support healthcare during a pandemic. Introduction During spring 2020, the AWS Marketplace Developer Challenge: ML Powered Solutions hackathon put forth a test for builders all over the world. The challenge […]
Using machine learning to stay connected
This post describes winning solutions from the AWS Marketplace Machine Learning Challenge hackathon. Other winners created solutions using machine learning to automate tasks and increase personalization and to support healthcare during a pandemic. The AWS Marketplace Developer Challenge: ML-Powered Solutions hackathon was hosted by the AWS Marketplace Machine Learning (ML) team earlier this year. A […]
Using Amazon SageMaker, AWS Marketplace, and AWS Data Exchange to predict retail product popularity
For many of my customers, use of machine learning and advanced analytics is a competitive differentiator. To do machine learning (ML) and analytics at scale, you need access to high-quality data sets. While some data is available in house, data scientists often need high-quality, third-party data in addition to the data they have available for […]
Building an Artificial Intelligence system for real-time text message classification and learning
by guest author Ievgen Sliusar, Assistant Professor, Ph.D. In this blog post, I demonstrate how to build an Artificial Intelligence (AI) system for real-time text message classification and learning using Dynamic AI56. This model package is available in AWS Marketplace. With conventional machine learning (ML), you first train your model and then deploy it to […]
December 3: AWS Marketplace sessions today at re:Invent
Please double-check the AWS re:Invent event catalog to confirm the date, time, and venue for your session! You can also get demos and education from 11 sellers (rotating daily) in the AWS Partner Solutions Experience in the southwest corner of the Venetian expo hall. You can follow AWS re:Invent on Twitter or the #reinvent hashtag […]
Automating model tuning and hyperparameter optimization with SigOpt
By guest author Nick Payton, Head of Marketing and Partnerships, SigOpt The quality of predictions from machine learning (ML) models depends on a few factors. These factors include a high volume of well-prepared data, a robust feature set with the appropriate architecture, and the configuration of hyperparameters. Hyperparameters are numeric values with high and low […]