Fixing the world one invalidator at a time.

Back to the stone age!

An efficient sampler for discrete random variables

-

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

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

-

Symbolics-based function property propagation for optimization

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

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

Repository for automatic differentiation backend types

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

AD backends for LogDensityProblems.jl.

Common abstractions for state-space models

-

Interface package for StaticArrays.jl

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

Differentiation on manifolds

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

This is what I wish `Base.@enum` was.

-

-

SparseArrays.jl is a Julia stdlib

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

-

Edge-weighted graphs compatible with Graphs.jl

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

-

-

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

Interface for mathematical/statistical densities in Julia