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aschrc-ait's Projects
aipycker
Pycker provides user-friendly routines to visualize seismic traces and pick first break arrival times.
asi-pytorch
Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories
cnn-for-asi
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
facies_classification_benchmark
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (submitted to the SEG Interpretation Journal 2019).
faultseg
Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
fbpicker
Multi-pattern algorithm for first-break picking employing open-source machine learning libraries
first_break_picking
First break picking in seismic gather
machine-learning-competition-2020
SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis
scipy2014-3d_seismic
Data and ipython notebook for my talk at Scipy2014.
seismic-deeplearning
Deep Learning for Seismic Imaging and Interpretation
seismic-transfer-learning
Deep-learning seismic facies on state-of-the-art CNN architectures
seismicpro
Seismic data processing with ML and deep learning
seismiqb
Seismic data interpretation with deep learning
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