Simple predictive models for tumor growth, and tools to apply them to clinical data

ParticleHolography.jl: Holographic particle measurement in Julia.

Businees functions for life insurance contract and product management

Visualization for the ConstrainedDynamics.jl package.

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Implements the basic functionalities of LinearElasticity.jl

SEM/EDS particle analysis tools

Heuristic methods for assessing approximate unidimensionality of data matrix.

Line Integral Convolution (LIC) visualization tool for 2D vector fields

Generalized Nernst-Planck-Poisson model for liquid electrolytes

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Julia package that provides closed-form expressions for computing the expectation of a function

A visualization package for the OpticSim Julia package

Colocalization metrics and distances for images or their sparse representations.

Dithering Algorithms for Julia

Optimization of geometric and photometric models for visual geometry tasks

Virtual Age Models for Julia

Julia package for handling measured data for spherical t-designs.

Solve a Partial Equilibrium Model for a given economic sector of arbitrary p products and r regions

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NLPModel for evaluating the objective and constraint in one step.

This is Numerical Analysis Julia package

A Julia package containing common types and utility functions shared by NSDE.jl and its subpackages.

Pakcage for generating normal maps from images using Julia.

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Generic algorithms for nonsmooth optimisation

Formulates and solves nonogram puzzles (a.k.a. Picross and paint-by-number) in Julia. Uses a new integer linear programming formulation, and solves it with JuMP.

Unfolded convolutional learning for motif discovery

ESA Intepolation Files made easy.

Multi-trajectory and local search methods in Nonconvex.jl

Test cases for BAT.jl and for Bayesian Julia software in general

Repository containing the abstract interface to the emulators used in the CosmologicalEmulators organization

WIP: Wrapper package for the variational method in Stan's cmdstan executable.

Quadratic approximation of posterior distribution using StanOptimize

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Non parametric productivity analysis under the B-disposal assumption

Resample fluxes and errors onto a new, arbitrary wavelength grid while conserving the total flux.

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