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

Fixing the world one invalidator at a time.

The dispatch doctor prescribes type stability

Coloring algorithms for sparse Jacobian and Hessian matrices

Back to the stone age!

An efficient sampler for discrete random variables

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The base package for Optimization.jl, containing the structs and basic functions for it.

A structure interface for SciML to give queryable properties from user data and parameters

An interface to various automatic differentiation backends in Julia.

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

Rewrite Inplace Operations to be OOP if needed

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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

Symbolics-based function property propagation for optimization

Connecting MLJ and MLFlow

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

Efficient and type-stable physical quantities in Julia

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.

Reduce time-to-first-execution of Julia code

Lambert W mathematical function

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

Lightweight Julia macro for destructuring properties and fields

Simpler stacktraces for the Julia Programming Language

Repository for automatic differentiation backend types

Interface designs for enforcing static computations in array functions with Julia

Makes Julia's package extensions backwards compatible

A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Ridiculously fast symbolic expressions

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

This Julia package provides the testitem macro

Macros to define and implement interfaces, to ensure they are checked and correct.

Interface package for StaticArrays.jl

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