AWS FeedUse AutoGluon-Tabular in AWS Marketplace AutoGluon-Tabular is an open-source AutoML framework that requires only a single line of Python to train highly accurate machine learning (ML) models on an unprocessed tabular dataset. In this post, we walk you through a way of using AutoGluon-Tabular as a code-free AWS Marketplace product. We use this process…
AWS FeedAdvanced Industrial Connectivity with AWS and Amorph’s SMARTUNIFIER By Frank Frauenhoffer, Managing Director – Amorph SystemsBy Stefan Schneider, Principal Partner Solution Architect – AWS Amorph Systems Industrial data exists in different components and systems, in various formats, and with separate access protocols. To harness this data and benefit from the synergies of system-wide interoperability,…
AWS FeedDeep learning image vector embeddings at scale using AWS Batch and CDK Applying various transformations to images at scale is an easily parallelized and scaled task. As a Computer Vision research team at Amazon, we occasionally find that the amount of image data we are dealing with can’t be effectively computed on a single…
AWS FeedAmazon Athena adds cost details to query execution plans Amazon Athena now displays the computational cost of your queries alongside their execution plans. With the release of the EXPLAIN ANALYZE statement, Athena can now execute your specified query and return a detailed breakdown of its execution plan along with the CPU usage of each stage…
AWS FeedRun AlphaFold v2.0 on Amazon EC2 After the article in Nature about the open-source of AlphaFold v2.0 on GitHub by DeepMind, many in the scientific and research community have wanted to try out DeepMind’s AlphaFold implementation firsthand. With compute resources through Amazon Elastic Compute Cloud (Amazon EC2) with Nvidia GPU, you can quickly get…
AWS FeedIntroducing cross-account Amazon ECR access for AWS Lambda This post is written by Brian Zambrano, Enterprise Solutions Architect and Indranil Banerjee, Senior Solution Architect. In December 2020, AWS announced support for packaging AWS Lambda functions using container images. Customers use the container image packaging format for workloads like machine learning inference made possible by…