SeisFilter-ML
An open-source toolkit for seismic signal denoising using local orthogonalization, spatial aliasing mitigation, and deep neural network architectures.
Open science
Toolkits, pre-trained models, and benchmark algorithms developed by the Institute, released so the work can actually be checked and reused.
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.
The codebase is open for community contributions, issue reporting, and academic benchmarking.