Matlab research tools to read, write and process seismic data

SEGY Swiss Army Knife for Seismic Data

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

Notebooks with examples and demos of segyio

Plots seismic, sorta

Fast Python library for SEGY files.

Data and code for training deep convolutional neural network to detect cracks in phased-array ultrasonic data.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

PRML algorithms implemented in Python

A Python library for array imaging in ultrasonic testing.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

COVID-Net Open Source Initiative

machine learning and deep learning tutorials, articles and other resources

Geophysical Tutorials for 2014

Exercises for the Stanford/Coursera Machine Learning Class

Introduction to Statistics using Python

IPython Notebooks

ObsPy: A Python Toolbox for seismology/seismological observatories.

Notebooks for "Python for Signal Processing" book