A solver for mixed-integer convex optimization

Beautiful and flexible vizualizations of high dimensional data

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Proximal algorithms for nonsmooth optimization in Julia

Proximal operators for nonsmooth optimization in Julia

The Base interface of the SciML ecosystem

Simple multithreading in julia

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

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

Julia wrapper for the Voyager data exploration tool

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

Technical analysis of financial time series in Julia

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

Library for finding the roots of a function using interval arithmetic

Multithreaded package for working with tabular data in Julia

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

A Julia framework for implementing FFTs

Algorithms and data structures for game theory in Julia

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

Julia package for simulating Dynamics on Networks

For working with dimensions of arrays by name

Read and write Excel, Word and PDF documents in Julia

Complex neural network examples for Flux.jl

Automatic differentiation of implicit functions

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

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

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

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

Solve non-linear HJB equations.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Arrays which also have a label for each element for easy scientific machine learning (SciML)

Flexible tables with ordered indices

Julia interface to gnuplot

A flexible neural net training library inspired by fast.ai

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

Call Java from Julia

Interactively search Julia code from terminal

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

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A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.