chookee Goto Github PK

3d-caffe

advance-bayesian-modelling-with-pymc3

apasvo

A graphical tool to perform event detection/picking in seismic traces.

artistic-style-transfer-using-keras-tensorflow

Art to Image Style Transfer using Keras and Tensorflow.

astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

bap

Bayesian Analysis with Python (Second Edition)

bayesdataanalysiswithpymc

Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"

bayespy

Bayesian Python: Bayesian inference tools for Python

bayespy-1

Bayesian Inference Tools in Python

blockdiagram

A python module for creating block diagrams and other 3D displays from stratigraphic models

bruges

Geophysics library with various helpful functions

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

channelmapper

workflow for mapping and analyzing meandering channels in satellite imagery

cminpack

A C/C++ rewrite of the MINPACK software (originally in FORTRAN) for solving nonlinear equations and nonlinear least squares problems

cythongsl

Cython interface for the GNU Scientific Library (GSL).

daft

Render some probabilistic graphical models using matplotlib

data-science-with-python

datasciencepython

common data analysis and machine learning tasks using python

datasets

A collection of datasets of ML problem solving

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

esac-stats-2014

Material for my lectures at the ESAC statistics conference, Oct 27-31 2014

examples

Code examples from the book.

fluvial_gan

ganriveri

geomodeling_conditional_progan

Directly Conditional Facies Modeling Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)

geomodeling_conditional_to_probability_maps_plus

The second repository (GeoModeling_Conditional_ProGAN) is used for conditioning to well data and global features. This repository is for conditioning to geophysics-interpreted probability maps alone and together with well data and global features.

geophysical_notes

Collection of geophyscal notes in the form of IPython notebooks.

geostatisticslessonsnotebooks

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com