Kinematic calibration for robots using motion capture data

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

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.

Methods for profile likelihood analysis.

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

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

A Julia extension package to Wavelets.jl

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

A simulator for ecological dynamics written in Julia.

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

DynamicHMC versions of StatisticalRethinking models

Julia package for multicellular modeling

Interface to the RobotLocomotion Drake Visualizer tool from Julia

Utilities for characterizing sources in astronomical images.

From Semiconductor to TransistorLevel Modeling in Julia

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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

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

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

Working efficiently with datasets where observations have associated uncertainties.

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

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

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

🧫 Read Flow Cytometry Standard (FCS) files in Julia

Low Inertia Transient Simulation Toolbox for Power Systems

Representing machine learning models using mathematical programming

A computational graph for time-series processing.

Pareto smoothed importance sampling

Make turbulence with words

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)