Utility package to connect to databases in the OMOP CDM format

Image files for olive

A Julia package for interactively visualizing and animating 3d cortical surface meshes, inspired by Connectome Workbench's wb_view

Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering

This Julia package performs the numerical integration of two Approximated Master Equations on networks: the Cavity Master Equation and the Conditional Dynamic Approximation

Subpackage of PowerDynamics.jl providing the functionality to solve/simulate the built models

Interface to PowerModels.jl using data in PowerSystems.jl format

Noise modeling

Largrange polynomial based spectral PDE solvers

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Set propagation for neural networks in Julia

Package holding options modeling and analysis codes

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Reusable NeRF components

An implementation of the psychomotor vigilance task in Julia.

Julia Package for reading and writing MPI Files

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Julia package for the paper "Decomposition with Monotone B-splines: Fitting and Testing"

[WIP] QEDevents.jl: Monte-Carlo event generation for QED.jl

[WIP]: QEDprocesses.jl: Modeling of scattering processes for QED.jl

Abstract interface and base functions for simulation results

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Gaussian Processes for MLJ

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A type and accompanying methods for vortex filaments in Julia.

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Analyze the layout of manuscript pages edited according to the conventions of the Homer Multitext project

Minc2 interface for Julia Language

Minifying Atari in Julia

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Mikrubi: a model for species distributions using region-based records

A Flexible Quasi-Copula Distribution for Statistical Modeling

A collection of microscopy tools

CUDA solver for Metida.jl

MetaCommunityMetrics is a collection of tools and utilities for analyzing meta-communities in Julia. The current version is compatible with julia version 1.9.3.

Unified framework of quantification and unfolding algorithms

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A package for analyzing molecular dynamics simulations of lipid membranes

Mechanical engineering toolbox for concept exploration, design and analysis.

Evaluate MSD of timeseries