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Name: Solomon Jimba
Type: User
Company: https://github.com/equinor
Name: Solomon Jimba
Type: User
Company: https://github.com/equinor
My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
Automation with Python (Excel, scripts, etc)
Programs of exercises to accompany "Computational Physics" by N. Giordano and H. Nakanishi
Code for Nature energy manuscript
Digital Reservoir Characterization Technology Consortium, UT Austin
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
The fastai deep learning library
The fastai book, published as Jupyter Notebooks
Synthetic datasets for geoscience (geo)statistical modeling
Geostats
GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
A hands-on tutorial on supervised learning with Gaussian processes
Python library for checking conformity of Log ASCII Standard (LAS) files to standards
Python library for reading and writing well data using Log ASCII Standard (LAS) files
Machine learning training images.
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Machine learning of linear differential equations using Gaussian processes
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
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 ;)
Python 3 Object-Oriented Programming – Third Edition, published by Packt
Python Data Analysis, Third Edition, Published by Packt
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.