Bayesian addition to Flux.jl

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Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.

Julia implementation of the Taylor-Fourier Transform (TFT)

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Tests for constraint-based metabolic models

Tools for generating and visualizing planar maps

Interface and Julia implementation of exchange-correlation functionals

Digital signal processing for radiation detectors

Effective parallelism for power flow calculation

A toolkit for the quantum and classical Dicke model in Julia.

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Julia implementation of Factored Spectrally Transformed Linear Mixed Models

A Julia package for piecewise spectral methods such as p-FEM

🔵 Interface and drivers for integrating Solvers and Samplers with the JuMP/MOI ecosystem

Geometry optimization for molecular simulation

Graph Compression using Quasi-stable Coloring

Image registration using mutual information.

Traits and low-level utilities for mass spectrometry

Http://proceedings.mlr.press/v119/bruinsma20a.html

Linear fractional programming with Julia and JuMP

A julia repository aimed a providing efficient geographic projections for production scale workflows

High performance hybrid Monte Carlo simulation

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Differentiable acoustic ray tracers

Many-body objects for quantum computing: a Julia implementation

Http://proceedings.mlr.press/v119/bruinsma20a.html

Compute the nearest correlation matrix using a pure Julia implementation

A julia package to compute the Distribution of Relaxation Times (DRT) of a given set of impedance measurements.

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A Julia interface to a distributed task-based workflow management system

Conversions between Distributions.jl distributions and MeasureTheory.jl measures.

Method to estimate phylogenetic networks from algebraic invariants

Implements a generic Inverted Index data structure for full text search and other kinds of search domains

Interfaces for deep learning data pipelines.

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

A Julia package for network decomposition of optimal power flow problems

Maps from the line into spaces

Drawing functions for `SimpleGraphs`

Proximal Augmented Lagrangian solver for solving multiperiod contingency-constrained ACOPF