An example of how to automate the process of training data generation through gprMax for use in machine learning models.

Runs gprMax simulations by generating input models, applied to glaciology.

Humanitarian Demining Project by Universidad de los Andes, mainly supported by USAID.

. It is a powerful simulation software designed to generate received signals from a variety of simulated scenarios, allowing for the labeling and saving of the resulting data.

Automated integration testing and physics-based fidelity validation for gprMax using NRMSE regression gates and CI/CD pipelines.

Deep learning landmine detection trained on synthetic GPR data. gprMax FDTD simulation, AutoKeras neural architecture search, and evaluation pipeline. BEng thesis — IMechE Best Student Award.

learn gprMax

Google Summer of Code 2025 Demo Implementation : AI Chatbot for support