A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.

Julia package for multicellular modeling

Methods for profile likelihood analysis.

Interface to the RobotLocomotion Drake Visualizer tool from Julia

Easy-to-use Spherical Harmonics, based on FastTransforms.jl

From Semiconductor to TransistorLevel Modeling in Julia

Clinical Trial related calculation: descriptive statistics, power and sample size calculation, randomization.

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Simulating Rydberg atom dynamics with Tensor Networks

Bayesian inference on wiring diagrams.

Analysis of linear systems using admittance models

A simulator for ecological dynamics written in Julia.

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A Julia extension package to Wavelets.jl

DynamicHMC versions of StatisticalRethinking models

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Make turbulence with words

Julia Operators LIbrary

Low Inertia Transient Simulation Toolbox for Power Systems

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

A julia package to load images using bioformats

Adding, multiplying density functions, fitting LLH

Uniform interface for machine learning in Julia

Core interface to design, solve, and simulate trajectory games.

A computational graph for time-series processing.

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

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

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

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Core methods and structures for neuroscience research in Julia.

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

Representing machine learning models using mathematical programming

Pareto smoothed importance sampling

Mixed complementarity problems parameterized by "runtime"-parameters with support for implicit differentiation.

A Julia package for automagical DC.js linked charts in your IJulia notebook

Simulators for kite power systems

Julia package for using Jags as an external program

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

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

Load mass spectrometry mzXML files