Xiang Xiao (xeisxic)

xeisxic

Geek Repo

Company:KeletGeo LLC

Location:Houston, TX

Home Page:keletgeo.com

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Xiang Xiao's repositories

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Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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facies_classification_benchmark

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (accepted for publication in the SEG Interpretation Journal, May 2019).

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faultSeg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

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first_break_picking

First break picking in seismic gather

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GeoPython

a set of python modules for geology related daily work

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ipf

Seismic image processing for geologic faults

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learn-regex

Learn regex the easy way

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Leetcode-Company-Wise-Problems

This is a repository containing the list of company wise questions available on leetcode premium. Every pdf file in this repository corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags.

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matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

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ml-interview

Preparing for machine learning interviews

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RSPapers

Must-read papers on Recommender System.

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SAVA

3D seismic modelling, FWI and RTM code for wave propagation in isotropic (visco)-acoustic/elastic and anisotropic orthorhombic/triclinic elastic media

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seismic_cpml

SEISMIC_CPML is a set of sixteen open-source Fortran90 programs to solve the two-dimensional or three-dimensional isotropic or anisotropic elastic, viscoelastic or poroelastic wave equation using a finite-difference method with Convolutional or Auxiliary Perfectly Matched Layer (C-PML or ADE-PML) conditions, developed by Dimitri Komatitsch and Rola

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slurm-gpu

Scheduling GPU cluster workloads with Slurm

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stream

STREAM is a simple synthetic benchmark program that measures sustainable memory bandwidth.

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USTC-CS-Courses-Resource

:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

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walberla-dockerfiles

Dockerfiles for automated testing of the waLBerla framework

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