7.7k citations · 12.7k across the 8 of their papers we have counts for
8 papers
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim +133
The Astropy Project supports and fosters the development of open-source and openly-developed Python packages that provide commonly needed functionality to the astronomical communit…
Conditional -VAE for De Novo Molecular Generation
Ryan J Richards, Austen M Groener
Deep learning has significantly advanced and accelerated de novo molecular generation. Generative networks, namely Variational Autoencoders (VAEs) can not only randomly generate ne…
Detecting the Presence of Vehicles and Equipment in SAR Imagery Using Image Texture Features
Michael Harner, Austen Groener, Mark Pritt
In this work, we present a methodology for monitoring man-made, construction-like activities in low-resolution SAR imagery. Our source of data is the European Space Agency Sentinel…
A Comparison of Deep Learning Object Detection Models for Satellite Imagery
Austen Groener, Gary Chern, Mark Pritt
In this work, we compare the detection accuracy and speed of several state-of-the-art models for the task of detecting oil and gas fracking wells and small cars in commercial elect…
Globally-scalable Automated Target Recognition (GATR)
Gary Chern, Austen Groener, Michael Harner +4
GATR (Globally-scalable Automated Target Recognition) is a Lockheed Martin software system for real-time object detection and classification in satellite imagery on a worldwide bas…
The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
The Astropy Collaboration, A. M. Price-Whelan, B. M. Sipőcz +134
The Astropy project supports and fosters the development of open-source and openly-developed Python packages that provide commonly-needed functionality to the astronomical communit…