EQCCT

EQCCT, or the EarthQuake Compact Convolutional Transformer, is a highly effective, accurate, generalizable, and production-ready machine-learning algorithm designed to autonomously detect seismic phases for earthquake detection. EQCCT was developed by Saad, O.M., Chen, Y.F., Siervo, D., Zhang, F., Savvaidis, A., Huang, G., Igonin, N., Fomel, S., and Chen, Y., (2023). More information regarding the purpose, design, functionality, results, and real-world implementation and application of EQCCT can be read about in their research paper here.

If you desire to use and pull only EQCCT (EQCCTOne) as originally developed in the 2023 research paper, use the following commands:

[skevofilaxc] mkdir my_work_directory
[skevofilaxc] cd my_work_directory
[skevofilaxc] git clone --depth 1 --filter=tree:0 https://github.com/ut-beg-texnet/eqcct.git --sparse
[skevofilaxc] cd eqcct
[skevofilaxc] git sparse-checkout set eqcctone

This should pull only the eqcctone folder, which contains all the source and demo code as designed by Yangkang Chen. Further documentation can be found in the eqcctone subfolder.

EQCCTPro

EQCCTPro builds on EQCCT's accurate seismic event detection, creating a highly efficient framework for real-time waveform processing across large seismic networks. By leveraging parallelization frameworks like Ray and optimizing hardware configurations, EQCCTPro enables fast, accurate, and efficient seismic data processing with continuous real-time monitoring capabilities.

EQCCTPro was created by Skevofilax, C., Salles, V., Munoz, C., Siervo, D., Saad, O.M., Chen, Y., and Savvaidis, A., (2025), and can be read about here.

To install EQCCTPro, there are two installation approaches:

1. Install EQCCTPro out the box with no sample waveform data to test the application with (experts)
2. Install EQCCTPro with the sample waveform data as provided from the Github folder (first-time users)

It is highly recommended you pull the EQCCTPro folder to gain access to the sample waveform data and code to help you get acquainted with EQCCTPro and its capabilites.

However, if you wish to install only the EQCCTPro Python package and use it out of the box (method 1), run:

pip install eqcctpro

You must have at least Python verison 3.10.14 for the application to run.

You can install Python 3.10.14 using either traditional methods or do the following commands:

[skevofilaxc] conda create --name yourenvironemntname python=3.10.14 -y
[skevofilaxc] conda activate yourenvironemntname 
[skevofilaxc] python3 --version
Python 3.10.14 (it should return)
[skevofilaxc] pip install eqcctpro

You will have access to EQCCTPro and its capabilities, however, it is highly recommended you pull the EQCCTPro folder to gain access to the sample waveform data to help you get acquainted with EQCCTPro's functionality. You can pull the EQCCTPro folder by running the following commands:

[skevofilaxc] mkdir my_work_directory
[skevofilaxc] cd my_work_directory
[skevofilaxc] git clone --depth 1 --filter=tree:0 https://github.com/ut-beg-texnet/eqcct.git --sparse
[skevofilaxc] cd eqcct
[skevofilaxc] git sparse-checkout set eqcctpro

If you wish to install EQCCTPro with the sample waveform data as originally intended for first-time users, and or are having trouble installing Python 3.10.14, there has been a precreated conda environment under the EQCCTPro folder that will install the necessary packages and dependencies needed for EQCCTPro to run (method 2).

You can pull the EQCCTPro folder, create the precreated conda environment, and activate it as originally intended for first-time users using the following commands:

[skevofilaxc] mkdir my_work_directory
[skevofilaxc] cd my_work_directory
[skevofilaxc] git clone --depth 1 --filter=tree:0 https://github.com/ut-beg-texnet/eqcct.git --sparse
[skevofilaxc] cd eqcct
[skevofilaxc] git sparse-checkout set eqcctpro
[skevofilaxc] conda env create -f environment.yml
[skevofilaxc] conda activate eqcctpro

After creating and activating the conda environment, install the EQCCTPro Python package using the following command:

[skevofilaxc] pip install eqcctpro

The pip package will install the remaining packages needed for EQCCTPro to work. More information on the eqcctpro pip package can be found at our PyPi project link here (EQCCTPro).

Further documentation and source-code can be found in the eqcctpro subfolder.

Downloading and using EQCCTOne/Pro

If you would like to use specific versions/implementations of EQCCT, read the above instructions on how to pull the specific folder containing the version you want to pull.

If you want to pull the whole repository, run the following command:

git clone https://github.com/ut-beg-texnet/eqcct.git

Contact Information

If you wish to contact the developers of EQCCTOne, please email [email protected].

If you wish to contact the developers of EQCCTPro, please email [email protected] or [email protected].