GitHub

A Scalable Deep Learning Framework for Wave-Based Inverse Problems

WaveDL is a deep learning framework built for wave-based inverse problems — from ultrasonic NDE and geophysics to biomedical tissue characterization. It provides a robust, scalable training pipeline ...
GitHub

Multipurpose content dumper and decryptor for the Nintendo 3DS

This is a work in progress fork of Archshifts original Decrypt9, including bleeding edge new features. Note that the names of the executable files for this are Decrypt9WIP.* instead of Decrypt9.*. New ...
Frontiers

Multi-objective RGB-D fusion network for non-destructive strawberry trait assessment

Growing consumer demand for high-quality strawberries has highlighted the need for accurate, efficient, and non-destructive methods to assess key postharvest quality traits, such as weight, size ...
C&EN

Chemically Informed Deep Learning for Interpretable Radical Reaction Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
eLife

Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons

Animals have evolved sophisticated visual circuits to solve a vital inference problem: detecting whether or not a visual signal corresponds to an object on a collision course. Such events are detected ...
Frontiers

A Deep-Learning Pipeline for TSS Coverage Imputation From Shallow Cell-Free DNA Sequencing

Cell-free DNA (cfDNA) serves as a footprint of the nucleosome occupancy status of transcription start sites (TSSs), and has been subject to wide development for use in noninvasive health monitoring ...