Julia package for multicellular modeling

A simulator for ecological dynamics written in Julia.

A Julia package for extracting mutation signatures using topic models

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

Methods for profile likelihood analysis.

From Semiconductor to TransistorLevel Modeling in Julia

Kinematic calibration for robots using motion capture data

Schemata for tabular data sets in Julia.

Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Julia

DynamicHMC versions of StatisticalRethinking models

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

Simple, blazing fast, transformer components.

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.

Bayesian inference on wiring diagrams.

Analysis of linear systems using admittance models

A Julia package for data discretization and label maps

Remote sensing data processing

The Yao compiler project

A Julia extension package to Wavelets.jl

Simulating Rydberg atom dynamics with Tensor Networks

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

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Useful tools for working with isometric or unitary tensors

A generic FEM solver by meta-expressions

Nonlinear regression in Julia

LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.

✂️ Pooled CRISPR screen optimization tool

Diffusion MRI Simulation Toolbox in Julia

Continuous transformations from ℝ or ℝⁿ to various open sets

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

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Analysis of Single Cell Expression data in Julia

Uniform interface for machine learning in Julia

Surrogate modeling package in Julia using radial basis functions for use in optimisation.

Julia Operators LIbrary

ORM for Julia

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

Relational piecewise-linear overapproximations of multi-dimensional functions

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

Adding, multiplying density functions, fitting LLH