Sergey Zakharchuk (chookee)

chookee

Geek Repo

Location:Moscow, Russia

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Sergey Zakharchuk's repositories

striplog

Lithology and stratigraphic logs for wells or outcrop.

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apasvo

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

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astroML

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

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bayespy

Bayesian Python: Bayesian inference tools for Python

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bruges

Geophysics library with various helpful functions

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BuildingMachineLearningSystemsWithPython

Source Code for the book Building Machine Learning Systems with Python

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cminpack

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

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daft

Render some probabilistic graphical models using matplotlib

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Doing_bayesian_data_analysis

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

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gio

Geoscience I/O

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jug

Parallel programming with Python

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lasio

Read/write well data from Log ASCII Standard (LAS) files

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libmsci

All my scientific software thrown into one bucket.

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libpgm

A library for creating and using probabilistic graphical models

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modelr

Google charts like API for Geoscience

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notebooks

IPython Notebooks

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obspy

ObsPy: A Python Toolbox for seismology/seismological observatories.

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OpendTect-Plugins

Various plugins for OpendTect v5+

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pgmpy

Python Library for Probabilistic Graphical Models

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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 ;)

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PySeis

Pure python seismic data processing

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rppy

A geophysical library for Python

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scikit-learn

scikit-learn: machine learning in Python

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segpy

A Python package for reading and writing SEG Y files.

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seisplot

Plots seismic, sorta

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simplesegy

segy parsing in python

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ThinkBayes

Code repository for Think Bayes.

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ThinkPython

Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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tutorials

Tutorials from The Leading Edge column

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