Built-in solvers for the GeoStats.jl framework

Library for simulating time binned photons in Waveguide Quantum Electrodynamics

A collection of port-Hamiltonian benchmark systems

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

As I want it be available, fast, complete and persistent

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Controllers for airborne wind energy systems

RELOG: Reverse Logistics Optimization

Alignment and comparison of small molecules read from .sdf files represented as Gaussian Mixture Models.

Full field solutions of Poisson and Stokes problems in 1D, 2D and 3D. Full field solutions to other problems are welcome!

Fast computation of local (Pearson) correlation coefficients for arbitrary size tensors of real and complex numbers.

Computational Tools for Heat Exchanger Network Synthesis

Forecasting using Arar algorithm

Deconvolution algorithms popular in Cherenkov astronomy

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Makie plots with legends and labels and everything

A Julia interface for retrieving data from the International Monetary Fund (IMF).

Optimal Transport Networks in Spatial Equilibrium - in Julia

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Statistical inference for Poisson Processes

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Load flow calculation using newton-raphson

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

Generates a cellular automata animation of the given GitHub repository.

Interface-based REST library for Julia, HTTP.jl

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Utilities to read/write extended GSLIB files in Julia

Julia interface to the National Library of Medicine's online pharmaceutical RxNav API

Package for modeling glycolysis activity

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

Thin wrapper over the Semantic Scholar API.

Calculates multidimensional functions faster by exploiting their separability.

Julia package for football analytics

Definitions of the Julia types for simulating an ISO's market clearing.

Nonlinear diffusion problems in Julia

A Makie theme

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

A non-linear Schrödinger equation solver for julia

A Julia package for computing singular integrals