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General Relativistic Orbital Dynamics in Julia

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

Probabilistic inference using contraction of tensor networks

Spiral engraving effect

Simulating Rydberg atom dynamics with Tensor Networks

Analysis of linear systems using admittance models

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Methods for profile likelihood analysis.

From Semiconductor to TransistorLevel Modeling in Julia

Kinematic calibration for robots using motion capture data

Bayesian inference on wiring diagrams.

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.

A Julia extension package to Wavelets.jl

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

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.

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

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

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

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

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

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

Utilities for characterizing sources in astronomical images.

A simulator for ecological dynamics written in Julia.

DynamicHMC versions of StatisticalRethinking models

Julia package for multicellular modeling

Interface to the RobotLocomotion Drake Visualizer tool from Julia

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

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

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

Simulators for kite power systems

Pareto smoothed importance sampling

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

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

Make turbulence with words

A computational graph for time-series processing.

Working efficiently with datasets where observations have associated uncertainties.