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.
Librosa can efficiently compute the spectrogram for large time series data in seconds. We will use that to plot the spectrogram using matplotlib
We learn how to plot selected shapefile data using geopandas on top of PyGMT maps
Runge-Kutta methods are most popular method to solve ordinary differential equations (ODEs) with a better approximation than the Euler method. We compare the...
The simplest algorithm to solve a system of differential equations is the Euler method. We understand the Euler method by looking into a simple heat transfer...
How you can plot the shear-wave splitting measurements from splitting database using PyGMT.
How can you link unsplash images directly to your blog without hosting it locally.
Uses pandas to read the html page and extract the html data into pandas dataframe
Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
In this post, we will see how can we retrive the available seismic waveforms information for a given network, station, channel and client in a given period o...
The Newton–Raphson method (commonly known as Newton’s method) is developed for finding roots of a given function or polynomial iteratively. We show two examp...
Spin up a zero-dependency web server with Python’s built-in http.server to share files or preview a site on your local network.
We see how to download seismic waveforms, convert them into mat format from mini-seed and then perform denoising using wavelet analysis. We first performed w...
Follow the instructions to make your python script executable from anywhere in Linux system.
Paramiko module can be used in Python to securely send data from the local client to the remote server. It is analogous to the SSH and SCP in Linux.
Librosa can efficiently compute the spectrogram for large time series data in seconds. We will use that to plot the spectrogram using matplotlib
We learn how to plot selected shapefile data using geopandas on top of PyGMT maps
Runge-Kutta methods are most popular method to solve ordinary differential equations (ODEs) with a better approximation than the Euler method. We compare the...
The simplest algorithm to solve a system of differential equations is the Euler method. We understand the Euler method by looking into a simple heat transfer...
How you can plot the shear-wave splitting measurements from splitting database using PyGMT.
How can you link unsplash images directly to your blog without hosting it locally.
Uses pandas to read the html page and extract the html data into pandas dataframe
Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
In this post, we will see how can we retrive the available seismic waveforms information for a given network, station, channel and client in a given period o...
The Newton–Raphson method (commonly known as Newton’s method) is developed for finding roots of a given function or polynomial iteratively. We show two examp...
Spin up a zero-dependency web server with Python’s built-in http.server to share files or preview a site on your local network.
We see how to download seismic waveforms, convert them into mat format from mini-seed and then perform denoising using wavelet analysis. We first performed w...
Follow the instructions to make your python script executable from anywhere in Linux system.
Paramiko module can be used in Python to securely send data from the local client to the remote server. It is analogous to the SSH and SCP in Linux.