Explore live open-source projects and AI models.

Deep learning dataset and benchmark for first-break detection from hardrock seismic reflection data

We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for seismic signal denoising and seismic damage assessment.

Rich Geological Features Are All You Need: Seismic Structure Identification Using Deep Learning in Complex Geological Contexts

Open Vertical Seismic Profiling (VSP) data for deep learning geophysics. #AI for science#

Open source code for "ClinoformNet-1.0: stratigraphic forward modeling and deep learning for seismic clinoform delineation"

Seismic data interpretation with deep learning

Implementation of `Towards fully autonomous seismic networks: backprojecting deep-learning-based phase time functions for earthquake monitoring on continuous recordings`