A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.

A computational graph for time-series processing.

Solving variational inequality problems, modeling via JuMP

Source code for https://nature.com/articles/s41467-019-10933-3

A julia package to load images using bioformats

Representing machine learning models using mathematical programming

DEPRECATED: Interface between the GLPK.jl wrapper and MathProgBase.jl

Reduced-Rejection-Rate Monte Carlo for Ising spin models

(Julia) Package for working with curves and regions in the extended complex plane.

Enigma decode/encode and cracking

Image processing based on image phase information.

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

Providing music-related visualization built on top of the packages of JuliaMusic

High Oscillatory Ordinary Differential Equation Solver in Julia

Empirical Bayes estimation and inference in Julia.

Implementation of the MLJ scientific type convention

Julia Incremental Technical Analysis Indicators (inspired by talipp)

Solving unregularized optimal transport problems with Julia

A Julia interface to the MiniZinc constraint modeling language

Continuous transformations from ℝ or ℝⁿ to various open sets

✂️ Pooled CRISPR screen optimization tool

Make turbulence with words

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Relentless mutation!!

Implementation of the AIControl paper in Julia 1.0

Load mass spectrometry mzXML files

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Design scalable noise characterisation experiments for quantum computers

Surrogate modeling package in Julia using radial basis functions for use in optimisation.

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Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.

Uniform interface for machine learning in Julia

Core methods and structures for neuroscience research in Julia.

Reduced-space optimization, for optimal power flow.

Adding, multiplying density functions, fitting LLH

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl

Relational piecewise-linear overapproximations of multi-dimensional functions

Supports approximating functions and solving differential equations on various higher dimensional domains such as disks and triangles

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.