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Canonical default initial values and identity elements for Julia

Abstractions for Julia Machine Learning Packages

A simple API for parallel computation on collections

Abstract interface of ScikitLearn.jl

Algorithms for computing intersection using sorted lists of integers as sets

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Utility package for working with classification targets and label-encodings

Under some conditions you may need this function

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

Julia wrapper for libcurl

C-compatible enum for Julia

A library gathering diverse algorithms for clustering, similarity search, prototype selection, and data encoding based on k-cluster algorithms.

Searching methods and models for textual data; it was designed to work with SimilaritySearch.jl

Classification algorithms based on kernel nearest centers

Implements a generic Inverted Index data structure for full text search and other kinds of search domains

A data-focused namespace for packages to share functions

Fork of https://github.com/JuliaFolds/MicroCollections.jl

The implementation of NameResolution.jl for Julia language.

A package for your code to understand scoping rules(including mutability of free variables).

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Base API optimized for tuples

Non-linear dimensional reduction using SimilaritySearch (ManifoldLearning and UMAP)

Base package for optimization and equation solver software in JuliaNLSolvers

Traits for julia tables

Traits for julia iterators

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

Type declarations for other repos to depend on.

Utilities for low overhead threading in Julia.

LIBLINEAR bindings for Julia

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An efficient sampler for discrete random variables

Utility package for generating, loading, splitting, and processing Machine Learning datasets

A Julia package for manifold learning and nonlinear dimensionality reduction

Missing value support for Julia

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

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