Simple multithreading in julia

Project Preferences Package

Julia wrapper for the Voyager data exploration tool

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

A Julia package for representing banded matrices

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

Parse yer YAMLs

A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

PDF Reader Library for Native Julia.

Technical analysis of financial time series in Julia

Multithreaded package for working with tabular data in Julia

ODE integration using Taylor's method, and more, in Julia

Library for finding the roots of a function using interval arithmetic

Reading and writing of video files in Julia via ffmpeg

Reading and writing of video files in Julia via ffmpeg

Posix-compliant file name pattern matching

One- and multi-dimensional adaptive integration routines for the Julia language

Arrays for working with categorical data (both nominal and ordinal)

Arrays indexed as the order of Star Wars movies

Julia package for inference and training of Llama-style language models

A Julia framework for implementing FFTs

OpenGL 3+ bindings for Julia

Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl

Complex neural network examples for Flux.jl

Read and write Excel, Word and PDF documents in Julia

Julia package for simulating Dynamics on Networks

Fast and robust Voronoi & Delaunay tessellation creation with Julia

Functional and persistent data structures for Julia

For working with dimensions of arrays by name

OpenStreetMap (*.osm) support for Julia 1.0 and up

Algorithms and data structures for game theory in Julia

Differentiating convex optimization programs w.r.t. program parameters

XML/HTML handling tools for primates

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Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Themes for the Julia plotting package Plots.jl

Automatic differentiation of implicit functions

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Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

A Julia package that provides support for reading and writing Numpy .npy and .npz files