geostatistic Goto Github PK
Type: Organization
Type: Organization
5-day course on Geostatistics, Data Analytics and Machine Learning
Actuarial mathematics examples
A bunch of models tested with difference Bayesian Inference methods
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
TMA4212
SGeMS domaining plugin (hierarchical clustering, K-means and GMM)
Statistics for spatio-temporal data
Lecture of convex analysis
On-the-fly operations on geographical maps.
Applying data-science and ML concepts to small datasets is highly discutable but I would argue that even the small one can benefit from it - if the user keeps in mind that the results are to be taken with a grain of salt
Create 2D syntetic geostatitics datasets from images for teaching purposes.
This is a light version of DGSA, written in Python
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Implementation of the Reduced Basis Method
Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.
Proof of concept for a single page application running on top of gempy.
Low-level geostatistical utilities that run on a GPU
Mapping of geological structure to graphs
Implicit 3D geological modeling and geostatistics
Directly Conditional Facies Modeling Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)
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.
Unconditional Geomodeling related work (codes, data, and results)
Lots of simple examples of using the batch interface to GeoModeller.
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.