Michael Abbott

It slices, it dices, it splices!

⅀

Nicely rounded log-space ranges, like [1, 3, 10, 30, 100]

𐏔𐏔𐏒

More informative REPL printing of numbers & arrays

🎹

Same-same but different

🥞

🏴‍☠️

⚛️

No description.

No description.

∿

🥒

sort : sortperm ≈ unique : groupslices

No description.

21st Century AD

🚫

🦔

Relax! Flux is the ML library that doesn't make you tensor

☯︎

🏎

A Julia library for efficient tensor calculations

🧭

A Julia package for strided array views and efficient manipulations thereof

🎈 Lightweight reactive notebooks for Julia

Julia package for tensor contractions and related operations

Physical quantities with arbitrary units

The current implementation of `LinearAlgebra.eigen` does not support sensitivities. DifferentiableEigen.jl offers an `eigen` function that is differentiable by every AD-framework with support for ChainRulesCore.jl or ForwardDiff.jl.

A Julia package for data clustering

No description.

A Julia package for probability distributions and associated functions.

The Julia Language: A fresh approach to technical computing.

Julia Linear Algebra standard library

Julia arrays with dimension labels, and scaling

An experimental package for loading and saving object in Python Pickle format.

A repo which compares the speed of different programming languages.

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

Utility library for working with CSV and other delimited files in the Julia programming language

EHT Image domain analysis through template matching.

math with more good bits

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

Optimisers.jl defines many standard optimisers and utilities for learning loops.

⚡ Single-pass algorithms for statistics

Memory efficient one-hot array encodings

No need to train, he's a smooth operator

Matrices with column weights

Starter kit for legendary models

Parameterise all the things

forward-, reverse-, and mixed-mode automatic differentiation primitives for Julia Base + StdLibs

CUDA integration for the NNlib API

Fortran-like arrays with arbitrary, zero or negative starting indices.

An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing

Fast, continuous interpolation of discrete datasets in Julia

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

A benchmarking framework for the Julia language

Next-generation AD

Julia bindings for the Enzyme automatic differentiator

Julia type that implements a drop-in replacement of Array with named dimensions

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Reusable array functionality for Julia's various GPU backends.

Julia package for lazily representing matrices filled with a single entry

Collection of builder repositories for BinaryBuilder.jl

Simple curve fitting in Julia

Macro(s) for vectorizing loops.

No description.

Utilities for testing custom AD primatives.

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

Pkg - Package manager for the Julia programming language

A simple shared suite of common derivative definitions

Forward Mode Automatic Differentiation for Julia

Multi-dimensional arrays with fixed size and circular indexing.

CUDA programming in Julia.

Find the fastest way to multiply a chain of matrices and do it.

metaprogramming for Julia arrays

Statically sized arrays for Julia

Julia interface to OS X's Accelerate framework

No description.

Powerful convenience for Julia visualizations and data analysis

Utilities for processing recipes

Visually clarified stack traces for Julia

Underscore placeholders for convenient closure syntax

A Julia framework for implementing FFTs

Lightweight package for sharing tensor-algebra definitions

Naïve combined subexpression elimination in Julia

Reverse-mode automatic differentiation in Julia

A collection of Julia benchmarks available for CI tracking from the JuliaLang/julia repository

A Julia package for describing array layouts and more general fast linear algebra

A Curious Cumulation of CUDA Cuisine

Compile your Julia Package

Fast composable IO streams

The official registry of general Julia packages

Vectors of unique elements, with quick reverse lookups

Interval Sets for Julia

Julia package for displaying images in the terminal using ANSI colors and Unicode characters

Performant arrays where each dimension can have a named axis with values

A general-purpose toolbox for efficient Kronecker-based algebra.

Type stable array slicing

No description.

Neural Network primitives with multiple backends

Compatibility across Julia versions

Batched routines (BLAS, LAPACK, etc.) for multi-dimensional arrays

One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

For working with dimensions of arrays by name

No description.

Lazy arrays and linear algebra in Julia

@einsum + multi-thread = @vielsum

iterates Literate.jl

Metadata for registered Julia packages.