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.

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

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From Semiconductor to TransistorLevel Modeling in Julia

A Julia extension package to Wavelets.jl

WIP: Wrapper package for the sample method in Stan's cmdstan executable.

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

Kinematic calibration for robots using motion capture data

A simulator for ecological dynamics written in Julia.

Compact Spectral Representation for Imaginary-time/Matsubara-frequency Green's Functions

Tidier date transformations in Julia, modeled after the lubridate R package.

DynamicHMC versions of StatisticalRethinking models

Julia package for multicellular modeling

Interface to the RobotLocomotion Drake Visualizer tool from Julia

Methods for profile likelihood analysis.

Simulators for kite power systems

Load mass spectrometry mzXML files

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

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

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.

A julia package to load images using bioformats

Adding, multiplying density functions, fitting LLH

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

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

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

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

Pareto smoothed importance sampling

A computational graph for time-series processing.

🧫 Read Flow Cytometry Standard (FCS) files in Julia

Low Inertia Transient Simulation Toolbox for Power Systems

Make turbulence with words

Representing machine learning models using mathematical programming

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

Working efficiently with datasets where observations have associated uncertainties.

Relational piecewise-linear overapproximations of multi-dimensional functions

Core methods and structures for neuroscience research in Julia.

Diffusion MRI Simulation Toolbox in Julia

Tools for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)