abdunbar Goto Github PK

followers: 33.0 following: 2.0 repos: 28.0 gists: 0.0

Name: Alexander Dunbar

Type: User

Bio: Geophysicist interested in Bayesian inference and machine learning

Location: Norway

👋 Hi, I’m @ABDunbar
👀 I’m interested in probability, statistics and machine learning as it applies to geophysics
🌱 I’m currently learning how to quantify uncertainty with nonparametric data distributions

Alexander Dunbar's Projects

abdunbar

Config files for my GitHub profile.

bap

Bayesian Analysis with Python (Second Edition)

bayesian_wine_class

Bayesian logistic regression using Metropolis-Hastings sampling techniques in R

bobswebsite

Bob's website

bruges

Geophysics library with various helpful functions

calculate-expected-value

Calculate expected value

chronostrat-re-data-merge

Merging chronostratigraphy with well data

classification_trees

Decision Tree and Random Forest classification of Telco customer churn

covid-19-us-world-comparison

Compares US state based COVID-19 cases and deaths against non-US countries with similar populations.

dlseis_well_tie

Automated Well-Tie

facies_classification

gui-convert-rate-volumes-imperial

GUI: Import Excel spreadsheet and convert rate and volume from metric to imperial.

nn_predict_abalone_age

NN for classifying abalone age

npd-fields

Analysis and visualisation of npd.no data on Fields

npd-lithology-predictions

Work from the FORCE machine learning contest. Prepare data for input to machine learning models.

npd-visualisation

Visualisation of the factpages.npd.no/en. Includes wells drilled, results, reserves, licences, fields,

npd-well-folder-management

A script that will move files and folders from the default Norwegian well database repository into a re-organised setup.

npd-well-velocity-integration

Import web-based and csv-based geology tops. Create instantaneous and interval velocities plots for depth conversion.

npd_drillingresults

Web scraping npd.no for Exploration Drilling Results

probabilistic-avo-analysis

Section 4.3.16 of Quantitative Seismic Interpretation. Avseth, et al, 2005

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)