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accuratearithmetic.jl

Calculate with error-free, faithful, and compensated transforms and extended signficands.

adapt.jl

amdgpu.jl

AMD GPU (ROCm) programming in Julia

appleacceleratelinalgwrapper.jl

Simple experimental wrapper of small number of Apple Accelerate linear algebra routines using libblastrampoline. Largely used for benchmarking routines using the Apple M1's matrix instructions.

aqua.jl

Auto QUality Assurance for Julia packages

arrayinterface.jl

Designs for new Base array interface primitives

asymptoticposteriors.jl

Asymptotic approximations to posterior distributions.

bangbang.jl

Immutables as mutables, mutables as immutables.

baysor

Bayesian Segmentation of Spatial Transcriptomics Data

blis

BLAS-like Library Instantiation Software Framework

boxoptnewton.jl

bqcesubroutine.jl

Basic Quantum Circuit Emulation Subroutine

cellarrays.jl

Arrays containing logical cells of small arrays or structs

chipsort.jl

Sorting deeds done down the chip

combobulate

Structured Editing and Navigation in Emacs

commonmark.jl

A CommonMark-compliant parser for Julia.

componentarrays.jl

Arrays with arbitrarily nested named components.

covariancerealism.jl

Library meant to assess the realism of propogated covariance matrices used in estimating the probability of collisions between satellites and space debrit.

covariancerealismgibbsmodel

A C++ implementation of the Gibbs Sampler in CovarianceRealism.jl.

covid19-forecast-hub

Projections of COVID-19, in standardized format

cpuid.jl

Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

cpuoptimizedconvnet.jl

WIP example/playground for convnet CPU optimization

crayons.jl

Colored and styled strings for terminals.

csv.jl

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

cthulhu.jl

The slow descent into madness

datastructures.jl

Julia implementation of Data structures

diffeqbase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

diffeqdocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

diffeqsensitivity.jl

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.