Sergey Zakharchuk's repositories
rockphypy
extensive Python library for rock physics modelling
vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
meandergraph
a graph-based approach to describing meanders and point bars
meanderpy
Simple model of meander migration
thomas_stieber
Code to perform Thomas-Stieber calculations for thinly laminated sands
Probabilistic-AVO-analysis
Section 4.3.16 of Quantitative Seismic Interpretation. Avseth, et al, 2005
pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
GSTools
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
datasets
A collection of datasets of ML problem solving
BAP
Bayesian Analysis with Python (Second Edition)
PyKrige
Kriging Toolkit for Python
SeReM
Seismic Reservoir Modeling package
SeReMpy
Seismic Reservoir Modeling Python package
DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
trainingimages
A bank of training images
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
channelmapper
workflow for mapping and analyzing meandering channels in satellite imagery
Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
Hands-On-Reinforcement-Learning-With-Python-1
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
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.
GeoModeling_Conditional_ProGAN
Directly Conditional Facies Modeling Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)
GeostatisticsLessonsNotebooks
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
The-Rock-Physics-Handbook-3rd-Edition
Website for Rock Physics Handbook 3rd edition
blockdiagram
A python module for creating block diagrams and other 3D displays from stratigraphic models
Strata
Markov chain simulator in a sequence stratigraphic framework
GeostatsPy
Wrapper / Reimplementation of GSLIB in Python