A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

Python module containing a Gaussian Process - Artificial Neural Network of melt viscosity.

Python software for spectral data processing (IR, Raman, XAS...)

i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses

A Library for Uncertainty Quantification.

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

A computational framework for finding symbolic expressions from physical datasets.

Earth Science PRoblems for the Evaluation of Strategies, Solvers and Optimizers

Python package for conformal prediction

The database contains a vast set of data on the properties of glass materials.

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

post-processing package that performs analysis of structural, transport, and thermodynamic properties from ab initio molecular dynamics simulations

Surrogate Modeling Toolbox

Lightweight, useful implementation of conformal prediction on real data.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

StatMechGlass: Python based Software for Composition-Structure Prediction in Oxide Glasses using Statistical Mechanics. To cite this Original Software Publication: https://www.sciencedirect.com/sci…

Machine learning model to predict the viscosity of oxide liquids

Python module for scientists working with glass materials

Gaussian process modelling in Python

Code to reproduce Valentine & Davies (2020), "Global models from sparse data: A robust estimate of Earth's residual topography spectrum", doi:10.1029/2020GC009240.

FORTRAN code for prediction of sulfur redox state in magmatic liquids

A beautiful, simple, clean, and responsive Jekyll theme for academics

Materials for an introductory course in Python programming for geoscientists

A lightweight Python code to calculate the seismic response of a layered half-space (including static components), and derivatives of the wavefield wrt source components.