Compute Bell inequalities and their quantum violations.

A Julia package for modelling Algorithmic Recourse Dynamics.

Http://proceedings.mlr.press/v119/bruinsma20a.html

Julia package for football analytics

Solutions for combinatorial problems using symbolic methods.

Package for modeling glycolysis activity

Package to map SPH particle data to a cartesian grid

Variable Selection with Knockoffs

Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

Provides a general framework for implementing and performing Kernel Density Estimation

Nonlinear diffusion problems in Julia

Digital signal processing for radiation detectors

Low-cost linear algebra functions for matrices with units

Https://stevengogogo.github.io/FindSteadyStates.jl/dev

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A non-linear Schrödinger equation solver for julia

Traits and low-level utilities for mass spectrometry

An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.

Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.

An extension package of PowerModels.jl for Harmonic (Optimal) Power Network

Maps from the line into spaces

A companion package for Microbiome.jl for working with the Biobakery family of computational tools

🌊 D-Wave Neal Simulated Annealing Interface for JuMP

A julia package to compute the Distribution of Relaxation Times (DRT) of a given set of impedance measurements.

Julia implementation of the Taylor-Fourier Transform (TFT)

Tools to specify and simulate individual based models, using applied category theory

🔵 Interface and drivers for integrating Solvers and Samplers with the JuMP/MOI ecosystem

A Julia package for computing singular integrals

Quantum mechanical few body systems in Julia

Optimization of Energy Communities in Julia

A toolkit for the quantum and classical Dicke model in Julia.

Generates a cellular automata animation of the given GitHub repository.

Calculates multidimensional functions faster by exploiting their separability.

Independent Hypothesis Weighting for multiple testing with side-information in Julia

Drawing functions for `SimpleGraphs`

Save videos from Julia

Solver for complemetarity-based dynamics.

Julia implementation of Autocorrelation Wavelets.

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Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event