Lists (3)
Stars
The objective here is to create a heat map representing the likelihood of finding a given ore deposit in the region. The heat map should be stored such that we could easily view the numeric value f…
Applying spatial graph construction, and Graph Neural Networks to geophysical interpretation problems.
grantboxer / pydata-book
Forked from wesm/pydata-bookMaterials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Introduction to optical remote sensing using Python
TGIF Seminar given at the Department of Geology and Geophysics of the University of Hawaii at Manoa
By Khan Muhammad (Postdoctoral Research Fellow) CSM University of Exeter: Input 2D or 3D grid with categorical variable values indicating different rocktypes to generate a 3D geological model in DX…
open source workflow for geostatistics block models
A java translation of the most recent form of Bob Berner's GEOCARBSULFVOLC with added functionality for testing variations in input parameters along their expected deviations. This version itself i…
Google Colaboratory Notebooks and Repositories (by @firmai)
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
Try out deep learning models online on Google Colab
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Python libraries for Google Colaboratory
Content of the my blog - Python For Geosciences
Geostatistical variogram estimation expansion in the scipy style
Code base for the Geostatistics lecture
R scripts for geostatistical analysis on QGIS
Querying-higazi / torchgeo
Forked from microsoft/torchgeoTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
ytkz11 / Geo-SAM
Forked from coolzhao/Geo-SAMA QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
OpenImageIO
Photogrammetric Computer Vision Framework
Read landsat9 images and generate thumbnails in rgba format
In geophysics, it is important to understand and identify the complex and unknown relationships between two time-series. Cross-correlation is an established and reliable tool to compute the degree …
‘R for Geoscience’ is a project focused on the field of Earth Science, aiming to utilize the R programming language for processing, analyzing, and visualizing Earth science data.
A Python-based single-force seismic inversion framework for massive landslides