This repository contains the implementation of a Physics-Informed Neural Network (PINN) framework developed to generate super-resolution aeromagnetic anomaly maps from line-based geophysical survey…

Modular Multi-Backend Encoder-Decoder Architecture for Probabilistic Time Series Forecasting

Use Codex from Claude Code to review code or delegate tasks.

GeoPrior-v3: Physics-guided AI for geohazards

FLAC3D Pre-Processing in Rhino

The author's officially unofficial PyTorch BigGAN implementation.

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

A modular system for inversion of electromagnetic geophysical data.

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

k-diagram: Rethinking Forecasting Uncertainty via Polar-based Visualization

ModEM that implements the Lévy Gradient Descent (LGD) algorithm for 3D magnetotelluric (MT) inversion

Beads - A memory upgrade for your coding agent

A conda-smithy repository for conda-forge-repodata-patches.

# pic2segy - Image to Seismic Data SEG-Y Converter. Development project

Code for the paper "Improved Techniques for Training GANs"

FilterNet: A CNN-RNN based filter model used for raw tunnel lining GPR data

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Anything can happen in the next half hour (including spectral timing made easy)!

A python plugin for importing FieldMove project features into QGIS

The Journal of Open Source Software

GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.

LaTeX style file for the Journal of Machine Learning Research

Bayesian Reconciliation for Hierarchical Forecasting

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Legacy Python library for Agentic Document Extraction (ADE). Use the landingai-ade library for all new projects.

fusionlab-learn: Igniting Next-Gen Temporal Fusion Architectures

k-diagram: Rethinking Forecasting Uncertainty via Polar-based Visualization

Adaptive Hammerstein-Wiener Model