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...
How human comparisons become a training signal, where DPO fits, and why useful AI agents still need indepen...
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
We will see how we can use amazon web services, specifically amazon polly to convert any text into a speech
If you have recently bought a M1 mac and have been doing blogging using Jekyll, then you must have experienced that installing Jekyll on the M1 architecture ...
We learn how to write a Makefile to automate the compilation of our source code. We will use one example from Fortran.
We will learn the basics of the maximum likelihood method, and then apply it on a regression problem. We will also compare it with the least-squares estimati...
The boundary value problems require information at the present time and a future time. We will see how we can use shooting method to solve problems where we ...
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...
We will see how we can use amazon web services, specifically amazon polly to convert any text into a speech
If you have recently bought a M1 mac and have been doing blogging using Jekyll, then you must have experienced that installing Jekyll on the M1 architecture ...
We learn how to write a Makefile to automate the compilation of our source code. We will use one example from Fortran.
We will learn the basics of the maximum likelihood method, and then apply it on a regression problem. We will also compare it with the least-squares estimati...
The boundary value problems require information at the present time and a future time. We will see how we can use shooting method to solve problems where we ...
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...