Multistart optimization methods in Julia.

Rigorous global optimisation

Easily and efficiently memoize any function, closure, or callable object in Julia.

A collection of examples and explanations about Julia

All-familiar `map` on steroids: lazy, nested, filtering and more generalizations of map.

Implementation of a language-level autograd compiler

Lazy arrays and linear algebra in Julia

The dispatch doctor prescribes type stability

Base package for optimization and equation solver software in JuliaNLSolvers

A Julia package for simulation, inference and learning of Hidden Markov Models.

Evolutionary & genetic algorithms for Julia

＠memoize macro for Julia

A simple Julia project to understand how weakdeps and Package Extensions work

Julia package for lazily representing matrices filled with a single entry

Easy automatic fitting of JuliaGP models

Compositional data analysis in Julia

Package for checking function arguments

Use Optim to train Flux models and visualize loss landscapes

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Reverse-mode automatic differentiation in Julia

Julia bindings for the FLINT number theory C library

Julia interface to the GNU Scientific Library (GSL)

A Julia package for calculating hypergeometric functions

Global optimization without derivatives

Taylor polynomial expansions in one and several independent variables.

Compile your Julia Package

Connect a REPL to a remote Julia process

Julia module for reading MATLAB files