SeisFilter-ML
An open-source toolkit for seismic signal denoising using local orthogonalization, spatial aliasing mitigation, and deep neural network architectures.
Open-source toolkits, pre-trained computational models, and high-performance benchmark algorithms developed by GeoSignal Institute.
An open-source toolkit for seismic signal denoising using local orthogonalization, spatial aliasing mitigation, and deep neural network architectures.
Benchmark algorithms and pre-trained models for microseismic event detection and channel alignment in high-density Distributed Acoustic Sensing (DAS) arrays.
Physics-informed modular framework for joint inversion of electrical resistivity, gravimetry, and magnetic datasets with regularized spatial constraints.
High-performance GPU-accelerated finite-difference solver for 3D elastic wave propagation in complex anisotropic media.
Our codebase is open for community contributions, issue reporting, and academic benchmarking. We encourage reproducible research and open scientific collaboration.