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Optimisers.jl defines many standard optimisers and utilities for learning loops.

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Julia MsgPack implementation with type-driven, overloadable packing/unpacking functionality

Julia library for the string interpolation of HTML and SVG

Use Optim to train Flux models and visualize loss landscapes

Scratch spaces for all your persistent mutable data needs

A toolbox to represent 3D rotations of coordinate frames for Julia language.

An implementation of an LRU Cache in Julia

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Extra sorting algorithms extending Julia's sorting API

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

Read/Write ZIP archives in Julia

Zlib codecs for TranscodingStreams.jl.

Interface for arithmetics on mutable types in Julia

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Add virtual padding to the edges of an array

A pooled representation for arrays with few unique elements

Fixed-width string types for Julia

A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

Simple multiprocessing for Julia

Calculating contour curves for 2D scalar fields in Julia

Wrapper around mbedtls

Fast composable IO streams

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Generate precompile directives by reading method signatures

Positive-definite "approximations" to matrices

Lightweight package to interface with MLJ

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

Naïve combined subexpression elimination in Julia

A package which provides an API for querying differentiation results at multiple orders simultaneously

Treat colors as if they are n-vectors for the purposes of arithmetic

Julia Package for the FFMPEG builder binaries

Primitives for construction of objects

Are your fields sleeping?... zzzz...

Generic helper algorithms for building plotting components

Julia package to easily calculate multidimensional integrals on discrete domains, brings MATLAB&Numpy trapz function to Julia

Julia wrapper for libcurl