A Julia package for probability distributions and associated functions.

Extensions for Julia's docsystem.

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"I started by producing, and the rapping came second to that, because I wanted to fill out the beat." - Awkwafina

Julia Package for the FFMPEG builder binaries

Julia package for lazily representing matrices filled with a single entry

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

Fixed point types for julia

Forked Successor to github.com/JuliaFolds/FLoops.jl

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A Julia package to provide C and Python-like formatting support

Forward Mode Automatic Differentiation for Julia

Reusable array functionality for Julia's various GPU backends.

Plotting for Julia based on GR, a framework for visualisation applications

The old Base.Grisu module made into a package

HTTP for Julia

A Julia package for calculating hypergeometric functions

Canonical default initial values and identity elements for Julia

Fixed-width string types for Julia

Interface for function inversion in Julia

A simple index type that allows for inverted selections

Defines additional irrationals

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

Traits for julia iterators

Julia bind to fzf fuzzy finder

JSON parsing and printing

The implementation of NameResolution.jl for Julia language.

Heterogeneous programming in Julia

Convert julia objects to LaTeX equations, arrays or other environments.

Convenient input and display of LaTeX equation strings for the Julia language

A Julia interface for training and applying models in machine learning and statistics

Julia wrapper for libcurl

A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.

Line search methods for optimization and root-finding

Julia wrapper for the LLVM C API

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

Composable Loggers for the Julia Logging StdLib

Julia package of loss functions for machine learning.

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

Efficient Implementation of Marching Cubes' Cases with Topological Guarantees