Simulating Rydberg atom dynamics with Tensor Networks

Interface to the RobotLocomotion Drake Visualizer tool from Julia

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

From Semiconductor to TransistorLevel Modeling in Julia

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

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.

Bayesian inference on wiring diagrams.

Analysis of linear systems using admittance models

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

A Julia extension package to Wavelets.jl

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

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

DynamicHMC versions of StatisticalRethinking models

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

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

🧫 Read Flow Cytometry Standard (FCS) files in Julia

Core methods and structures for neuroscience research in Julia.

A computational graph for time-series processing.

Julia package for using Jags as an external program

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

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

Enigma decode/encode and cracking

Pareto smoothed importance sampling

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

Empirical Bayes estimation and inference in Julia.

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

Load mass spectrometry mzXML files

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

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

High Oscillatory Ordinary Differential Equation Solver in Julia

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Relational piecewise-linear overapproximations of multi-dimensional functions

Representing machine learning models using mathematical programming

Uniform interface for machine learning in Julia

Adding, multiplying density functions, fitting LLH

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

Make turbulence with words

Working efficiently with datasets where observations have associated uncertainties.

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