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autostencilpy

Automatic finite difference stencil calculations

birefringence.jl

A computational calculation of the revised Michel-Lévy interference colour chart

blockbootstrap.jl

Statistical block bootstrap library for Julia

cider2022-tutorial-1

CIDER 2022: Tutorial 1: Overview and Setup

colors.jl

Color manipulation utilities for Julia

conditional-moments-tutorials

Julia based tutorials on SDE inference using conditional moments

conditionalmoments.jl

Statistical moments for conditional increments

continentaldeformationmat

Modelling geologic scale continental deformation by the thin viscous sheet approximation

cpp4python

Interactive e-book for Python to C++ transition

diptest

R CRAN package `diptest` : Hartigan's diptest for unimodality (including p-values)

ekidemo

Ensemble Kalman Inversion demo in Julia

exponentialnoisesde.jl

Regression of stochastic processes with exponentially correleted noise. A Julia package designed to estimate the drift and noise functions of a stochastic differential equation from multiple data sources. The regression is flexable enough to account for white or exponentially correlated noise.

finite-difference-calculator

A calculator for finite difference stencils, built with Flask

geodynamo_uli

Underdamped Langevin Inference of geodynamo ADM variations

hilbertplot

Visualising N-dimensions using Hilbert curves

intrusion_heatflow

Geological heat flow finite difference calculation

itogaussplot

A measure of the variability of linear trends in a time-series observation, as a function of windowing length

knowledge-graphs-for-seismic-data-and-metadata

This repository contains code to support the paper "Knowledge Graphs for Seismic Data and Metadata" by William Davis and Cassandra R. Hunt.

mconvshelltex

Mantle Convection Shell Texturing

navierstokes2d.jl

2D Navier-Stokes solvers

nn_distances

Distances of parameters in Neural Networks

onlinemoments.jl

Calculating conditional moments from streams

pmagmod

pMagSDE: A collection of data and stochastic models of paleomagnetic field variability

predictsdereversal

Attempting to predict the time until a reversal geomagnetic reversals using machine learning techniques.

pyretis_demo

rationalalgebra

Rational algebra operations for python

secn-pr

Regression of stochastic processes with exponentially correlated noise

seismotools

Small library for processing seismic data

seven-languages

simpeg

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.