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Found 4 papers, 1 papers with code
SeismiQB -- a novel framework for deep learning with seismic data
Unfortunately, many of the seismic processing tools were developed years before the era of machine learning, including the most popular SEG-Y data format for storing seismic cubes.
Seismic horizon detection with neural networks
Over the last few years, Convolutional Neural Networks (CNNs) were successfully adopted in numerous domains to solve various image-related tasks, ranging from simple classification to fine borders annotation.
PyDEns: a Python Framework for Solving Differential Equations with Neural Networks
Recently, a lot of papers proposed to use neural networks to approximately solve partial differential equations (PDEs).
Clearing noisy annotations for computed tomography imaging
One of the problems on the way to successful implementation of neural networks is the quality of annotation.
