Multi-scale electrical conductivity model of Australia

A Python implementation of a kd-tree

2D and 3D Voronoi tessellations: a python entry point for the voro++ library

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

The EFDO neural operator network is used for fast forward modeling of magnetotelluric data in complex media.

2D and 3D Monte Carlo seismic tomography

Joint inversion of Receiver Function and Surface Wave Disperion by Hamiltonian Monte Carlo Method

This study presents an ABC-Stacking based detection algorithm for subglacial lakes in Antarctica's AGAP region. The manuscript is currently under revision after peer review.

Inversion of dispersion curves using Evolutionary Algorithms

Scalable library for Eikonal equation based Adjoint-state Traveltime Tomography

A framework for subglacial topography estimation on the Greenland ice sheets

ML algorithms in depth

optim: A Python-Based optimization framework for geophysical problems

This code package is used to reproduce all the data analysis procedures and plotted figures in UNM YS2024 paper.

Benchmarking of spatial regression methods with respect to spatial heterogeneity, and providing a Python implementation of spatial Random Forests

code for Ambient Noise Full Waveform Inversion with Neural Operators

Spatiotemporal prospectivity modelling of porphyry systems in PNG and the Solomon Islands

This repository contains R scripts for Bayesian inference applied to evaluate the best-fit parameters for ice flow laws. It supports the paper: Sheng Fan et al. (2025). "Flow laws for ice constrain…

Instructed Glacier Model (IGM)