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

Back to the stone age!

An efficient sampler for discrete random variables

Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

Connecting MLJ and MLFlow

Implementation of Takahashi''s inverse subset algorithm for sparse matrices

Measures (metrics) for statistics and machine learning

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

Efficient transducers for Julia

Immutables as mutables, mutables as immutables.

Pass loop info to LLVM

Reduce time-to-first-execution of Julia code

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

Counterpart of CUDA_Runtime_jll, but for discovering a local toolkit.

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

Interface package for StaticArrays.jl

Julia bindings for NVTX, for instrumenting with the Nvidia Nsight Systems profiler

A package for reading and writing files with delimited values (Originally a Julia stdlib)

A shared Extent object for Julia spatial data, with DE-9IM spatial predicates

Julia library for stylized terminal output

Lightweight colors

Efficient Implementation of Marching Cubes' Cases with Topological Guarantees

Utilities and abstractions for Machine Learning tasks

Julia client for MLFlow.

SparseArrays.jl is a Julia stdlib

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

Compute `real(dot(x, y))` efficiently.

An optimized graphs package for the Julia programming language

Interface for transformation functions in Julia

Interface for function inversion in Julia

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

Fixed-width string types for Julia

Partial implementation of the OpenML API for Julia

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

Interface for mathematical/statistical densities in Julia