Optimization functions for Julia

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Julia implementation of Data structures

A benchmarking framework for the Julia language

Basic statistics for Julia

A Julia package for evaluating distances (metrics) between vectors.

Types with default field values, keyword constructors and (un-)pack macros

A data structure for mathematical optimization problems

Special mathematical functions in Julia

JSON parsing and printing

MacroTools provides a library of tools for working with Julia code and expressions.

Provide insights about latency (TTFX) for Julia packages

High-performance metaheuristics for optimization coded purely in Julia.

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Main Package for IO, loading all different kind of files

A combinatorics library for Julia

Color manipulation utilities for Julia

Reduce time-to-first-execution of Julia code

Abstract julia interfaces for working with trees

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Julia macro for re-exporting one module from another

Compatibility across Julia versions

Project Preferences Package

Parse yer YAMLs

Line search methods for optimization and root-finding

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Uniform Interface for positive definite matrices of various structures

Julia implementation of associative containers that preserve insertion order

SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

Fixed point types for julia

Machine learning kernels in Julia.

Basic color definitions and traits

A simple shared suite of common derivative definitions

Julia package for various special functions based on `log` and `exp`.