A scikit-learn compatible neural network library that wraps PyTorch

Extra blocks for scikit-learn pipelines.

Cookiecutter template for a simple jupyter book

A Jupyter book demo.

This is my personal website

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Model architecture for the ThinkOnward SectionSeeker image search model

Model architecture for the ThinkOnward Geophysical Foundation Model

An open source python library for automated feature engineering

DSL and compiler framework for automated finite-differences and stencil computation

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…

Deep learning for steamflow-flood forecasting in Australia

An HTML+CSS template for making more accessible posters

RockIR : Rock Image Retrieval for rock samples

Examples using COFII, the Chevron Optimization Framework for Imaging and Inversion.

SEGY Swiss Army Knife for Seismic Data

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation da…

Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.

Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)

Generating seismic data and associated labels to train deep learning networks.

A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

Simulates the propagation of the acoustic wave using the finite difference method in 2D and 3D domains.

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

Seismic Foundation Model

Generating seismic data and associated labels to train deep learning networks.

Pangeo website + discussion of general issues related to the project.

A python module to read and write geoprobe format volumes, horizons, and faults