Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering

Equating Functions

High-performance market risk measures for your portfolio.

A Julia version of ABBA with parallel k-means implementation

Plotting recipes for equations of state

An _educational_ implementation for computing the Jordan form and its transformation matrix.

BayesBase is a package that serves as an umbrella, defining, exporting, and re-exporting methods essential for Bayesian statistics

Measurements for lattice QCD. This is intended to use in LatticeQCD.jl.

This package simplifies evolutionary algorithms for applications in systems biology. It can be used to generate oscillating reaction networks, networks that match input timeseries data, or fit parameters (rateconstants).

Collection of Julia functions to make random things

Julia package for using JuliaQX with Yao

Compute exact simplex intersections in N dimensions.

Core API of BAT.jl

Noise modeling

Statistics, Julia package: check data for a Simpson's statistical paradox.

Mikrubi: a model for species distributions using region-based records

[WIP] QEDevents.jl: Monte-Carlo event generation for QED.jl

Real-time systems modeling and schedulability analysis

Implementation of standard Ewald2D and Ewald3D methods.

Tools for handling correlated uncertainties in Julia

A Julia package for simulating the dynamics of passively crosslinked actin rings.

Plotting tools for ElectroPhysiology.jl

Reduced Basis Methods for Particle Systems

A Julia interface to the ReefMod Engine API

Implementation of Guided Proposals (introduced by M Schauer, F van der Meulen, H van Zanten)

Models of aerosol chemistry and physics using ModelingToolkit.jl

A Julia package for estimating effective (i.e., directed) connectivity in large (whole-brain) networks.

Computes the boundary crossing probability for a general diffusion process and time-dependent boundary.

Robustly and accurately fit monochromatic sine waves.

Interface for fitting Gaussian processes

Hyperelastic Material modelling with support for Automatic Differentiation

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Package for the execution of the Point Estimate Method (PEM) with arbitrary number of representative points.

Time Series Classification algorithms in Julia - Bachelor thesis project

This generates covariance matrices and cholesky decompositions for a set of stochastic integrals.

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An implementation of the psychomotor vigilance task in Julia.

Julia implementation of *l*_1-norm clusterpath (Hocking et al., 2011, Radchenko & Mukerjee, 2017)

Initial conditions of astrophysical simulations