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g_seis

GUI 2D-Seismic data processing software. The main functionality allows to perform surface-consistent operations based on different 2, 3 and 4-factors mathematical models. Such operations are: surface-consistent amplitude correction, surface-consistent minimum phase deconvolution and build upper layer velocity model (by factor decomposition of first break time) to determine statics shifts. Also it is easy to read/write SEG-Y files, change trace headers and trace data, work with horizons, plot seismic data and factors data-files, plot upper layer velocity. The user interface allows to use application while processing 2D seismic data. Feel free to contact me.

gravlab

groundmotion-processing

Parsing and processing ground motion data

gspecdisp

A Matlab package for phase-velocity dispersion measurement from ambient-noise correlations

gst101foss4glabs

GST 101 - Introduction to Geospatial Technology FOSS4G Labs

gst105foss4glabs

GST 105 - Introduction to Remote Sensing - FOSS4G Labs

gstools

GeoStatTools: Geostatistical tools like random field generation, variogram estimation and covariance models.

gw1876

Applied Groundwater Model Calibration and Uncertainty Analysis Class

gwb-dc-inversions

Examples of 1D and 2D inversions for Geoscience Without Border Projects at Myanmar

handson-ml

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

hgmod

A hydrogeophysical synthetic model generator

hippylib

‘An Extensible Software Framework for Large-Scale Inverse Problems. In tutorial section see the subsurface Bayesian <<tutorial/3_SubsurfaceBayesian.ipynb>>

hires_spectrum

High Resolution Spectrum Estimation

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

how-to-python

hvsr

A set of Python scripts to compute and plot HVSR curves using MUSTANG PDF-PSD web service from IRIS

hydrofunctions

A suite of convenience functions for working with hydrology data in an interactive Python session.

hydrogeosines

Signal In the Noise Exploration Software for Hydrogeological Datasets

iaga_summerschool2019

Materials for the workshop on magnetic observatories and modelling

ice-core-viz

Visualizing Ice Core Datasets in Python Using a Jupyter Notebook Template

igrf12

International Geomagnetic Reference Field IGRF12 and IGRF11 -- in Python and Matlab

img_qc_workshop

TCDL 2018 Workshop: Introduction to Image Processing with Python and Jupyter Notebooks

iml

Introduction to Machine Learning - UFES - 2016/2 - Course Slides

improving-the-resolution-using-ert-instruments-with-a-reduced-number-of-electrodes

interpies

A collection of functions for reading, displaying, transforming and analyzing geophysical data.

intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

intro2stats

Introduction to Statistics using Python

introcomputationalearthscience

Course notes for Intro to Computational Earth Science

introduction-to-programming-for-geoscientists

Introduction to programming for geoscientists. Designed for 1st year undergraduates. Based on the book "A Primer on Scientific Programming with Python" by Hans Petter Langtangen.

introduction-to-python-numerical-analysis-for-engineers-and-scientist

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.