Least squares and curve fitting in Julia with speed and robustness

Compute the thermo-rheological properties down a lava channel!

GitHub repository of the paper: "Predicting geophysical time series on volcano at Piton de la Fournaise".

Merlion: A Machine Learning Framework for Time Series Intelligence

Gaussian Process - Artificial Neural Network modelling of magma viscosity.

Introduction to python use in geosciences.

A collection of tools for chemometrics and machine learning written in Julia.

Implementation of the 1D Savitzky-Golay filter in JuliaLang

A Python library of algorithms for the baseline correction of experimental data.

Fast and Accurate ML in 3 Lines of Code

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

A parallel framework for deep learning

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

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

SMT: The 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.