Measures (metrics) for statistics and machine learning

Wrapper on top of LightGraphs for preserving vertex numbering

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Unified measure and coordinates types

Access `version`, `uuid`, etc. in `Project.toml`

Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.

Immutables as mutables, mutables as immutables.

Julia package with a set of functions to manipulate strings with ANSI escape sequences.

Traits for julia tables

Rdiv!(::AbstractMatrix, ::UpperTriangular) and ldiv!(::LowerTriangular, ::AbstractMatrix)

Interface for mathematical/statistical densities in Julia

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C-compatible enum for Julia

Utility for creating advisory pidfiles (lock files)

Traits for julia iterators

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Interface for transformation functions in Julia

A package for wrapping iterative MLJ models in a control strategy

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Lightweight Julia macro for destructuring properties and fields

Partial implementation of the OpenML API for Julia

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A SciML symbolic-numeric compiler tool for investigating functions in order to perform optimizations

Iterated stochastic integrals in Julia.

Fixing the world one invalidator at a time.

Base interface for dispatching on the "scientific" type of data instead of the machine type

LuxCore.jl defines the abstract layers for Lux. Allows users to be compatible with the entirely of Lux.jl without having such a heavy dependency.

Connecting MLJ and MLFlow

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A bzip2 codec for TranscodingStreams.jl.

An efficient sampler for discrete random variables

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Nicely format an array of n things for tables and plots

A Julia package for building production-ready measures (metrics) for statistics and machine learning

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A stack implementation with a reset! function which avoids garbage collection for scientific machine learning (SciML)

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Scheduler for Polyester.jl and compatible libraries such as LoopVectorization.jl.

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