microsoft/seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

Archived
51
/ 100
Established

Provides extensible ML pipelines with state-of-the-art segmentation models (UNet, SEResNET, HRNet) for facies classification and seismic facies segmentation on 2D/3D rectangular seismic volumes. Built on PyTorch/TensorFlow with modular, swappable model configurations and SEGY-to-numpy data conversion utilities. Integrates with Azure Machine Learning for distributed training and includes Docker containerization, Jupyter notebooks, and pip-installable `cv_lib` and `interpretation` utilities for end-to-end seismic workflows.

461 stars. No commits in the last 6 months.

Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

461

Forks

144

Language

Python

License

MIT

Category

seismic-deep-learning

Last pushed

Sep 18, 2020

Commits (30d)

0

GitHub
Seismic Deep Learning · 34 frameworks

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