geodq Goto Github PK
Name: GeoDQ
Type: User
Company: University of Copenhagen
Bio: #Geostatistical modelling #Machine learning #Geomodelling #Coding
Location: Copenhagen
Name: GeoDQ
Type: User
Company: University of Copenhagen
Bio: #Geostatistical modelling #Machine learning #Geomodelling #Coding
Location: Copenhagen
Geophysics library with various helpful functions
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
Convolutional neural network for seismic impedance inversion
Neural network based petrophysical property inversion
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).
Python toolkit for modeling and inversion in geophysics. DEPRECATED in favor of our newer libraries (see www.fatiando.org)
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
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Seismic Forward Modeling written in Python
Some Python functions for sorting, plotting, semblance analysis, stacking, and migrating seismic data
Seismic Reservoir Modeling Python package
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
Geophysical Tutorials column for 2017
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.