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The latest Messages 11
2020-10-20 10:14:41
#dataset MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
MSeg is a composite dataset that unifies semantic segmentation datasets from different domains. In this dataset, authors reconcile the taxonomies and bring the pixel-level annotations into alignment by relabeling more than 220,000 object masks in more than 80,000 images.
In this seminar series, we want to take a look at the frontier of machine learning systems, and how machine learning changes the modern programming stack. Our goal is to help curate a curriculum of awesome work in ML systems to help drive research focus to interesting questions.
A guide and case study on MLOps for software engineers, data scientists and product managers. Deploy ML to production for a real product with live data using open source tools.
2020-10-16 10:01:04Using reinforcement learning to personalize AI-accelerated MRI scans
Our early experiments with the fastMRI data set show that our models outperform the previous active MRI acquisition state of the art over a broad range of acceleration factors.
2020-10-15 17:52:04
The 2020 Data & AI Landscape
In this post, you will learn about: — Key trends in data infrastructure — Key trends in analytics & enterprise AI — The 2020 landscape — Who’s in, who’s out — noteworthy IPOS, M&A and additions
2020-10-15 10:20:57Object Detection from 9 FPS to 650 FPS in 6 Steps
This article is a practical deep dive into making a specific deep learning model (Nvidia’s SSD300) run fast on a powerful GPU server, but the general principles apply to all GPU programming. The SSD300 is an object-detection model trained on COCO, so output will be bounding boxes with probabilities for 81 classes of object.
This evolving GPT-3 collection includes links to some of the best demos and tutorials around the web. This is a great rabbit hole for anyone interested in understanding how GPT-3 works and where it's going.
2020-07-29 22:25:47Understanding coordinate systems and DICOM for deep learning medical image analysis
Multiple introductory concepts regarding deep learning in medical imaging, such as coordinate system and DICOM data extraction from the machine learning perspective.
Download a free copy of the full book and learn how to get started with AI / ML development using PyTorch. This book provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open-source machine learning framework.
2020-07-15 21:27:37Interactive, Scalable Dashboards with Vaex and Dash
Vaex and Dash are open-source libraries that make it easy to build interactive dashboards on the web for millions, and even billions, of data samples using just your Python skills. This tutorial shows what you can do with these libraries and how to use them.