Open Science & Reproducible Research

Software & Open Source

Open-source toolkits, pre-trained computational models, and high-performance benchmark algorithms developed by GeoSignal Institute.

Signal Processing
v1.2.0Python / MATLAB

SeisFilter-ML

An open-source toolkit for seismic signal denoising using local orthogonalization, spatial aliasing mitigation, and deep neural network architectures.

GitHub Repository
Distributed Sensing
v0.8.4Python

DAS-EventLocate

Benchmark algorithms and pre-trained models for microseismic event detection and channel alignment in high-density Distributed Acoustic Sensing (DAS) arrays.

GitHub Repository
Inversion
v2.0.1Python / C++

PyGeoInvert

Physics-informed modular framework for joint inversion of electrical resistivity, gravimetry, and magnetic datasets with regularized spatial constraints.

GitHub Repository
Modeling
v1.1.0C++ / CUDA

WaveField-Sim3D

High-performance GPU-accelerated finite-difference solver for 3D elastic wave propagation in complex anisotropic media.

GitHub Repository

Want to collaborate or contribute to our repositories?

Our codebase is open for community contributions, issue reporting, and academic benchmarking. We encourage reproducible research and open scientific collaboration.