Autoencoders for Seismic Waveforms: Compress, Learn, and Generate
Autoencoders learn compact representations by reconstructing seismic data. This tutorial explains their use...
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Autoencoders learn compact representations by reconstructing seismic data. This tutorial explains their use...
A compact macOS setup with two Alfred workflows for turning caffeinate on and off, plus SwiftBar for keepin...
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
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Introduction to the concepts of tomography with equations and codes. Introduction to the concepts of overdetermined, underdetermined and mix-determined probl...
We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...
Visualize the statistics of the data using MATLAB: mean, median, std, interquartile range, skewness, kurtosis, t-statistic, degrees of freedom
Using Randomization to test the disprove the null hypothesis
This post demonstrate how to use Python to set up clip topographic map based on coastlines.
Generating GMT style shaded relief map in Python
In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...
We read the station information from a file to plot the 1 arc-minute relief map
How to fit data to non-linear model
Plotting 1 arc-minute topographic map in python
Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...
Plotting publishable quality maps using generic mapping tools (GMT)
A basic to advanced guide to making interactive plots in Bokeh.
Quick action for mac to easily love, dislike, rate songs in apple music app
Introduction to the concepts of tomography with equations and codes. Introduction to the concepts of overdetermined, underdetermined and mix-determined probl...
We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...
Visualize the statistics of the data using MATLAB: mean, median, std, interquartile range, skewness, kurtosis, t-statistic, degrees of freedom
Using Randomization to test the disprove the null hypothesis
This post demonstrate how to use Python to set up clip topographic map based on coastlines.
Generating GMT style shaded relief map in Python
In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...
We read the station information from a file to plot the 1 arc-minute relief map
How to fit data to non-linear model
Plotting 1 arc-minute topographic map in python
Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...
Plotting publishable quality maps using generic mapping tools (GMT)
A basic to advanced guide to making interactive plots in Bokeh.