MXNet Julia Package - flexible and efficient deep learning in Julia

Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.

An implementation of the Microsoft Language Server Protocol for the Julia language.

Web-based GUIs for Julia

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Plotting for Julia based on GR, a framework for visualisation applications

A Julia package for data clustering

Time series toolkit for Julia

Reverse Mode Automatic Differentiation for Julia

Geometric Deep Learning for Flux

Visualization of Julia profiling data

Metal programming in Julia

A comprehensive open source computer algebra system for computations in algebra, geometry, and number theory.

Finite element toolbox for Julia

Probabilistic Programming with Gaussian processes in Julia

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

Surrogate modeling and optimization for scientific machine learning (SciML)

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

A fast trajectory optimization library written in Julia

Computer vision models for Flux

Julia solvers for systems of nonlinear equations and mixed complementarity problems

Evolutionary & genetic algorithms for Julia

Modeling and simulation of multidomain engineering systems

The reactive UI library for interactive data applications with pure Julia.

Efficient implementation of struct arrays in Julia

Call R from Julia

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

🏔️Manopt. jl – Optimization on Manifolds in Julia

Simple curve fitting in Julia

Convex optimization for fun and profit. (Now in Julia!)

Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

JSON parsing and printing

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

A Julia package for Gaussian Processes

A differentiable physics engine for robotics

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Lazy arrays and linear algebra in Julia

Polynomial manipulations in Julia

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A Julia package to perform Bifurcation Analysis