Klare and Miller Gauss-Newton Minimizer

Julia implementation of the Globally-Optimal Gaussian Mixture Alignment algorithm (Campbel 2016)

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Methods to estimate parameters of a distribution robustly

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2D plotting functionality for the RoME.jl package

Single Cell RNA-seq normalization using regularized negative binomial regression

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Julia implementation of "Sensitivity Matrices as Keys to Local Structural System Properties of Large-scale Nonlinear Systems" by L. G. Van Willigenburg et al.

A collection of extended Generalized Pareto distributions (EGPD) and related functions.

Exponential representation of cell-cell interactions

This package connects PowerSimulation results to Marmot for plotting system results

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Convert between graphs defined in Graphs and SimpleGraphs

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Provides an eclipsing binary type as well as functions that compute eclipsing binary parameters

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Abstraction Layer for Dynamic Bounds

Bounds and Relaxations of Parametric Differential Equations

Spectral Gaussian simulation solver for the GeoStats.jl framework

A Julia package for regression in the sphere based on Universal Differential Equations

Model coupled diffusion of major elements in garnet using natural data.

Stan only version of DiffEqBayes.jl

Plots based plotting functions for StatisticalRethinking

Data driven acoustic propagation models

A package for the development and implementation of continuous-time policy gradient (CTPG) methods.

Stochastic Numerical Integrators in Julia

Model of Saccharina latissima (sugar kelp) based on Broch and Slagstad, 2012

Gross-Pitaevskii and Bogoliubov-de Gennes in 2D

Calculate support points for a sample of data

Base functionality used throughout the CausalityTools ecosystem

CanDecomp (CP) Tensor Decomposition

A package for plotting custom symbols from Taija packages.

Repository for the Julia BOMBS package

Paquete de equilibrio liquido/vapor

Estimating Term Structure Models in the Bayesian Framework

BioExplorer.jl: A comprehensive Julia package for biodiversity analysis. Uncover patterns, richness, abundance, and ecological metrics. Empowering researchers, conservationists, and data enthusiasts with insights for informed decision-making and preserving our natural world.

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