Sergey Zakharchuk (chookee)

chookee

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Location:Moscow, Russia

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Sergey Zakharchuk's repositories

BAP

Bayesian Analysis with Python (Second Edition)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

blockdiagram

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

License:Apache-2.0Stargazers:0Issues:0Issues:0

channelmapper

workflow for mapping and analyzing meandering channels in satellite imagery

License:MITStargazers:0Issues:0Issues:0

datasets

A collection of datasets of ML problem solving

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DBDA-python

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

License:MITStargazers:0Issues:0Issues:0
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GeoModeling_Conditional_ProGAN

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

License:MITStargazers:0Issues:0Issues:0

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.

License:MITStargazers:0Issues:0Issues:0

GeostatisticsLessonsNotebooks

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

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GeostatsPy

Wrapper / Reimplementation of GSLIB in Python

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GSTools

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

License:LGPL-3.0Stargazers:0Issues:0Issues:0

Hands-On-Reinforcement-Learning-with-Python

Hands-On Reinforcement Learning with Python, published by Packt

License:MITStargazers:0Issues:0Issues:0

Hands-On-Reinforcement-Learning-With-Python-1

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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meandergraph

a graph-based approach to describing meanders and point bars

License:Apache-2.0Stargazers:0Issues:0Issues:0

meanderpy

Simple model of meander migration

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Probabilistic-AVO-analysis

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

License:MITStargazers:0Issues:0Issues:0

PyKrige

Kriging Toolkit for Python

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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rockphypy

extensive Python library for rock physics modelling

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

SeReM

Seismic Reservoir Modeling package

License:MITStargazers:0Issues:0Issues:0

SeReMpy

Seismic Reservoir Modeling Python package

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Strata

Markov chain simulator in a sequence stratigraphic framework

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The-Rock-Physics-Handbook-3rd-Edition

Website for Rock Physics Handbook 3rd edition

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thomas_stieber

Code to perform Thomas-Stieber calculations for thinly laminated sands

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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trainingimages

A bank of training images

License:GPL-3.0Stargazers:0Issues:0Issues:0

vosk-api

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

License:Apache-2.0Stargazers:0Issues:0Issues:0