This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Kaitai Struct: runtime for Julia

Basic tools for working with Kepler 2-body orbits

Postprocessing of data obtained by numerical simulations or measurements

Package for modeling options contracts

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Tools for GPs with Kronecker product kernels.

Polynomial matrices in Julia

Compute Laguerre-Voronoi diagrams in Julia

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Tables with AxisIndices backend

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LatticeAnimals.jl - Generate random lattice animals (polyforms) from the percolation model using the Metripolis algorithm

Tables backed by AxisArrays

A Julia implementation of the algorithm described in: Avrutin V et al. Calculation of homoclinic and heteroclinic orbits in 1D maps. Commun Nonlinear Sci Numer Simulat (2014), http://dx.doi.org/10.1016/j.cnsns.2014.07.008

Reimplementation of a truncated multivariate distribution with fast, exact minimax-tilting based sampling.

PlotSeis.jl is a set of visualization tools for SeisIO.jl

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Implementation of the finite volume method for moving boundary problems in 1D.

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

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Plot position weight matrices (PWM)

Yujie's customized plotting utilities

Convenient line plots of ModiaResults with CairoMakie

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Constrained Bayesian optimization implementation in Nonconvex.jl

Ipopt wrapper for Nonconvex.jl.

Plotting functions for Plasmo.jl

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Visualization of 3D meshes

Ray tracing of 3D meshes (not for visualization)

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Juniper wrapper in Nonconvex.jl

NIST XCOM x-ray attenuations in Julia.

Generate geometry meshes from graphs using turtle algorithms

Meshes and functions to generate geometry primitives