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An implementation of quantile regression for Julia modeled after the R quantreg package.

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A package for evaluating tail probabilities and partial moments for random vectors in multivariate generalized hyperbolic random vectors.

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Generate simulated DNA sequences for regulatory genomics problems

Improves dual numbers support for SIMD use of ForwardDiff.jl.

Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database

A toolbox for air-water vapor psychrometrics for Julia

Probabilistic inference using the symbolic method.

Scalpels algorithm

Package allowing tensor calculations in arbitrary coordinate systems.

Switched-On Bayes.

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Julia package to perform Bayesian clustering of high-dimensional Euclidean data using pairwise dissimilarity information.

Method to study the cyclic and spectral properties of categorical time-series.

Different methods for pose recovery.

Series-expansion thermal tensor network (SETTN)

Particle filtering using the Feynman-Kac formalism

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Magnon-phonon hybridized system.

An implementation of the TOBS algorithm as a heuristic for binary nonlinear programming

Gradient based MCMC sampler

Networks. Boil 'em mash 'em stick 'em in a stew. And now, plot 'em.

Defines the minimal interface for Comrade so people can add their own models

Empirical Bayes mean estimation with nonparametric errors via order statistic regression in Julia (https://arxiv.org/abs/1911.05970)

God said Maxwell equations and then there was light

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Observable for Markov chain Monte Carlo simulations

Distributions and Sampleables with keys for the variates

Bitemporal data management for prototypical life insurance data model

A simple, compact, and extensible tool for optical raytrace evaluation in the Julia Programming Language.

Monotone Cubic B-Splines (arXiv:2307.01748)

Empirical Bayes shrinkage in Julia

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

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Analysis of life tables implemented in Julia.

This Package comprises a collection of ensemble algorithms for prediction, in order to improve the predictive performance for classification and regression problems.

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