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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

basic-data-analytics-on-oil-well-data

basic-well-log-interpretation

Basic Well Log Interpretation with python, pandas, matplotlib

bayesian-online-changepoint-detection-for-multivariate-point-processes

Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

be-a-geoscience-detective

Why choose between Data Science and Geoscience? Do both!

beta-tests

books

borehole_grapher

This takes a csv file of readings related to depth and graphs them. Assuming coördinates are present, it will also create a map of them.

bpsmautotoolbox

This is the repository for the Stanford BPSM Automation Toolbox. The library can be used for creating and simulating basin and petroleum system models for studying probabilistic interactions.

bruges

Geophysics library with various helpful functions

carrot

cax_log_facies

cchardet

universal character encoding detector

cegaltools

cemented_sandstone_pb_ml

Code for generating the analysis, plots, and manuscript for "Comparison of permeability predictions on cemented sandstones with physics-based and machine learning approaches"

changepoint-detection

Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.

clockwork-rnn-porosity-log-prediction

A Clockwork RNN model to train on compressional velocity (Vp), formation density (Rhob), gamma ray (Gr), and resistivity (Rt) logs to predict Neutron Porosity (Nphi)

code_snippets

combined_nmr_conventional_logs-shaley-sand-analysis-using-petrogg

Mihai's PetroGG modified to be used with our shaly-sand Gulf Coast NMR data.

computational-geophysics

All geophysics method: gravity, magnetic, seismic, electrical, electromagnetic

coresamples

core sample pic linearization and analysis

costsensitiveclassification

CostSensitiveClassification Library in Python

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

crowdanalytix

crowdanalytix-gamma-log-facies-prediction

CrowdANALYTIX Competition: Develop an algorithm to predict Log Facies type from given Gamma-Ray values

crowdanalytix-grlog-tsclassification

Labelling of GR Log Patterns

customer-segmentation-using-unsupervised-learning

This project shows how to perform customers segmentation using Machine Learning algorithms. Three techniques will be presented and compared: KMeans, Agglomerative Clustering ,Affinity Propagation and DBSCAN.

data-science--cheat-sheet

Cheat Sheets

data-science-best-resources

Carefully curated resource links for data science in one place