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A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Numerical Tours of Signal Processing
Python scientifique
IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.
Source code for book website
A resource for use of numerical physics with Python, covering many topics in physics.
Python library for solving large-scale inverse problems: Eikonal equation ,Modelling, ES601 etc
OGS-6 source code
👩🏿💻 OpenIntro Labs in R using the tidyverse design philosophy, grammar, and data structures
Using R's ggplot2 and rgdal to examine earthquake activity in Oklahoma
Object oriented programming in python co-learning group
Scripts and software for out-of-sequence shortening calculations
Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
Various plugins for the open source seismic interpretation system - OpendTect
👩🏻🏫 Slides for OpenIntro Statistics
Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.
Tutorial created by Chelle Gentemann for Ocean Sciences 2020 Meeting
Lesson materials for OSS 2017 data science curriculum
Source code, data and manuscript for an article published in Geophysics titled: The monogenic signal of potential-field data: A Python Implementation
Probability distribution Amplification and Plotting in Python
Notes and examples on how to solve partial differential equations with numerical methods, using Python.
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Practical Bayesian Inference
Principal Component Analysis Denoising
Collecting interesting PDFs from websites using machine learning.
Extract references (pdf, url, doi, arxiv) and metadata from a PDF; optionally download all referenced PDFs
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
PhD Thesis
Code relative to the three main chapters of the thesis.
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.