An implementation of PSIS algorithms in Julia.

Tools for working with color schemes, color maps, gradients

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🌾 declarative crop modeling framework

An opinionated layer on top of FFTW.jl to provide simpler FFTs for everyone.

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

Analysis of linear systems using admittance models

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

Methods for profile likelihood analysis.

FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.

From Semiconductor to TransistorLevel Modeling in Julia

Simulating Rydberg atom dynamics with Tensor Networks

A Julia extension package to Wavelets.jl

Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

Kinematic calibration for robots using motion capture data

Bayesian inference on wiring diagrams.

Utilities for characterizing sources in astronomical images.

A simulator for ecological dynamics written in Julia.

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

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DynamicHMC versions of StatisticalRethinking models

Julia package for multicellular modeling

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.

Interface to the RobotLocomotion Drake Visualizer tool from Julia

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

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

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

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

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Load mass spectrometry mzXML files

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

Core methods and structures for neuroscience research in Julia.

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

Julia Operators LIbrary

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

Make turbulence with words

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

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

Simulators for kite power systems