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Transfer entropy (conditional mutual information) estimators for the Julia language

Symbolics-based function property propagation for optimization

Julia implementation of Smooth Local Projections (SLP)

Plot recipe for plotting (decision) trees

A Julia interface to the SDPA-GMP, SDPA-DD, and SDPA-QD high precision semidefinite programming solvers.

Numerical integration methods for structural dynamics problems

A small step for dynamics, a giant leap for SciML

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Simulations of cosmological scalar fields

Tools for general Tight Binding systems

Organize Scanning Probe Microscopy (SPM, STM, AFM) Images and Spectra.

Symbolic modeling in Julia!

Text preprocessing library with framework for composable tokenizations

A Julia wrapper for Xyce.

A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.

Duality of view between named variables and flat vectors in Julia

Optimization algorithms for inverse problems.

Graph representations of text

Rdiv!(::AbstractMatrix, ::UpperTriangular) and ldiv!(::LowerTriangular, ::AbstractMatrix)

Log to W&B from Julia

Julia Package for reading .tsp files

Implementation of the tree width algorithms.

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Types and constructors for spatially referenced graphs.

Store hierarchical data in graphs in a non-redundant way

Duality of view between named variables and flat vectors in Julia

A sequential quadratic programming solver in Julia

A Julia package for spatial dependence (spatial autocorrelation), spatial weights matrices, and exploratory spatial data analysis (ESDA).

Library for simple upwind finite differences

An implementation of bivariate copulas and bivariate distributions in Julia

MLJ Interface for ScikitLearn.jl

🌊 D-Wave Quantum Annealing Interface for JuMP

Backward-filtering forward-guiding with StochasticDiffEq.jl

Unit and Integration Tests for JuMP NLP and MINLP solvers

Control barrier functions (CBFs) in Julia.

A Julia package to manipulate very small IEEE 754 standard-compliant floating-point numbers.

A package for missing data handling via multiple imputation by chained equations in Julia. It is heavily based on the R package {mice} by Stef van Buuren, Karin Groothuis-Oudshoorn and collaborators.

Function calls with 50% less typing ;-)