Create grid mazes

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A high performance Julia adaptation of the code from "Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations" (Gordon et al 2016)

FMIBase.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

Registries for package feature for easy discovery.

A Julia package for integration of packages of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

MPI based parallel for method of moments (MoM) and MLFMA (https://github.com/deltaeecs/MoM_AllinOne.jl.jl)

Evidential Deep Learning Layers for Flux

Nonlocal Electrostatics in Structured Solvents

Julia implementation of Bouman et al.'s edge camera algorithm

An iteractive DynamicGrids.jl UI for Jupyter, atom, desktop and the web.

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Numerical bifurcation analysis for delay differential equations

A dynamically-structured matrix population model

CoralBlox is a coral growth and mortality model that simulates distinct coral functional groups indirectly competing for a limited space over time. The model does not directly consider natural disturbances nor does it have representation of anthropogenic restoration and conservation activities such as coral seeding or cloud brightening.

Statistical analyses for Bayesian workflows

A Julia package for people that love to learn new things about constraints

A Julia library for fitting DDMs to pulse-based evidence accumulations task data

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

Pure Julia implementation of tools used in Coding Theory

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A Julia package for solving Riemann–Hilbert problems

Bayesian Safety Signal Detection in Julia

Basic polynomials with exact coefficients

Importers for the BaseModelica standard into the Julia ModelingToolkit ecosystem

A powerful, no code solution for control and systems engineering

Data-driven models for extremely precise radial velocity (EPRV) spectra

A repository for adaptive transport maps

Julia Package for Active Inference

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Library for common tools for solving PDEs with finite difference methods (FDM), finite volume methods (FVM), finite element methods (FEM), and psuedospectral methods in a way that integrates with the SciML Scientific Mechine Learning ecosystem

Runge-Kutta Methods in Julia

DecomposingPolynomialSystems.jl is a Julia package that decomposes (simplifies) a given polynomial system using tools from numerical algebraic geometry.

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

EDS spectrum analysis tools within the NeXL toolset

Code for cosmological SFB analysis.

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Example environments and tools for the TrajectoryGamesBase interface.

Slice sampling algorithms in Julia

Astrophysical plotting interfaces for Julia