Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

MADS: Model Analysis & Decision Support

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang

Methods for computational information geometry

A unified framework for skeletonization, morphological analysis, and connectivity analysis.

DCE MRI analysis in Julia

Easy interface for obtaining fits for 2D data

Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language

Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments

Effortlessly uncover and label thematic insights in large document collections using the power of Large Language Models and Julia Language

Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community

Geothermal Cloud for Machine Learning

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

A Julia package for computing processes related to plant ecophysiology and biophysics

Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

Design scalable noise characterisation experiments for quantum computers

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Tools for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)

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A model framework for the interpretation of mineral age spectra in stratigraphic context

Visualisation, output and fitting of the DAMM model

A data-driven model fitting framework

Package Information and Documentation

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

A flexible Julia toolkit for high-dimensional cellular profiles

A Julia package for fitting the equation of state of solids, and more

Neural Signal Analysis

Framework for stochastic modelling in systems biology

Better Radial velocities from Stellar Spectroscopy via Machine Learning

A set of tools for analyzing molecular dynamics simulations

Modeling light transport in turbid media

Non-linear dimensional reduction using SimilaritySearch (ManifoldLearning and UMAP)

Generate population growth rate maps from spatial data

Implementation of a GNSSReceiver

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Fitting circles to 2D data points.

High performance hybrid Monte Carlo simulation

A toolkit for the quantum and classical Dicke model in Julia.

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