A small Julia tool for visualizing DICOM metadata.

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Julian interface for Pythonic virtual environments

Utilities for working with DataFrames of `Intervals.jl` or `TimeSpans.jl` objects.

Calculates multidimensional functions faster by exploiting their separability.

Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.

Julia package to work with KaTeX

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

Repository for plotting implicitly defined surfaces and curves in R3.

Conversions between Distributions.jl distributions and MeasureTheory.jl measures.

Interfaces for deep learning data pipelines.

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A simple package for easily downloading/parsing CPS microdata files.

Nonlinear diffusion problems in Julia

Toolbox for categorical time-series analysis.

Experimental Approach to McCormick Relaxation Source-Code Transformation

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A collection of structures to define observation or action spaces of Reinforcement Learning environments. [May be moved into CommonRLInterface once stable]

Package to map SPH particle data to a cartesian grid

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

Counterfactual Regret Minimization Game solution methods for Julia

Modular/extensible Julia library for Computer Adaptive Tests

Julia package for football analytics

Plot critical difference diagrams in Julia

Extension of PowerSimulations.jl to model Hydropower devices

A Julia package for piecewise spectral methods such as p-FEM

A Makie theme

A non-linear Schrödinger equation solver for julia

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

Algorithms for performing angular differential imaging (ADI)

Julia package for MPI reconstruction

Layerwise Relevance Propagation in Julia.

Use PETSc solvers in sequential and parallel Julia runs

A Julia library to resample timeseries (from TimeSeries.jl)

A package to handle the domain of variables in JuliaConstraints packages.

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

A package that stores Constraint Programming models for JuliaConstraints solvers

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Tests for constraint-based metabolic models

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