Julia bindings for the Enzyme automatic differentiator

Interactive data visualizations and plotting in Julia

Basic Geometry Types

Update immutable data

Common functional iterator patterns

Calculating contour curves for 2D scalar fields in Julia

Print data in formatted tables.

Simple, consistent interfaces for any codec.

Basic interface for manifolds in Julia

Powerful convenience for Julia visualizations and data analysis

Primitives for construction of objects

Abstraction layer for spanning factor graphs over various technologies

CUDA programming in Julia.

Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.

HDF5-compatible file format in pure 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.

Forward Mode Automatic Differentiation for Julia

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

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

Julia implementation of Data structures

In-memory tabular data in Julia

Julia macro for re-exporting one module from another

Julia wrapper for the LLVM C API

Formatted output of timed sections in Julia

Mathematical functions related to statistics.

Heterogeneous programming in Julia

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.

Optimization functions for Julia

Basic statistics for Julia

A data structure for mathematical optimization problems

Repository for automatic differentiation backend types

IANA time zone database access for the Julia programming language

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

A simple index type that allows for inverted selections

Colorschemes, colormaps, gradients, and palettes

Fixed point types for julia

Reusable compiler infrastructure for Julia GPU backends.

A benchmarking framework for the Julia language

Physical quantities with arbitrary units

Reduce time-to-first-execution of Julia code