Julia support for native CUDA programming

Computational geometry in Julia

Molecular simulation in Julia

A Julia/JuMP Package for Power Network Optimization

Binary Dependency Builder for Julia

Save and load data in the HDF5 file format from Julia

"Distributions" that might not add to one.

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Filter design, periodograms, window functions, and other digital signal processing functionality

Build Qt6 QML interfaces for Julia programs.

MPI wrappers for Julia

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

Web-based GUIs for Julia

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

Time series toolkit for Julia

Geometric Deep Learning for Flux

Visualization of Julia profiling data

Metal programming in Julia

Taylor polynomial expansions in one and several independent variables.

Root finding functions for Julia

Probabilistic Programming with Gaussian processes in Julia

A fast trajectory optimization library written in Julia

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 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.

Computer vision models for Flux

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

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

Call R from Julia

Reusable array functionality for Julia's various GPU backends.

🏔️Manopt. jl – Optimization on Manifolds in Julia

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

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

Provide insights about latency (TTFX) for Julia packages

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.