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Name: Jackson
Type: User
Location: China
Name: Jackson
Type: User
Location: China
Small GUI program to Plot a 3D seismic volume as slices along the x,y,z axis.
A General Approach to Seismic Inversion Problems using Automatic Differentiation
Source code for my project of estimating anisotropy parameters with Deep Learning including data creation (earth models and synthetic seismic gathers)
Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data
The class computes the Bayesian Seismic Inversion results . Some modules are missing due to its proprietary natures, updates with an executable file is coming soon.
Pre- and Postprocessing tools for full waveform inversion
Geophysics library with various helpful functions
Using Convolution Neural Network for Seismic Fault Mapping
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
Convolutional neural network for seismic impedance inversion
An optimized patch-point based approach to seismic fault interpretation using CNN.
Determination of the elastic parameters of a VTI medium from sonic logging data using deep learning
Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset
Framework for computing seismic attributes with Python.
waveform_classification
【本科毕业设计】LSTM + Wavelet(长短期记忆神经网络+小波分析):深度学习与数字信号处理的结合
Set of seismic modeling and inversion examples using Devito for different wave equations.
A easy HMM program written with Python, including the full codes of training, prediction and decoding.
Codes and data for a manuscript in Interpretation Journal, Aug 2019
Implemented EM fitting of a mixture of gaussians on the two-dimensional data set points.dat. Tried different numbers of mixtures, as well as tied vs. separate covariance matrices for each gaussian.
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).
Deep-learning inversion: A next-generation seismic velocity model building method
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
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.