Climate Machine: an Earth System Model that automatically learns from data

Julia package for tensor contractions and related operations

Statistical plotting recipes for Plots.jl

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Next-generation AD

Density-functional toolkit

Play atmospheric modelling like it's LEGO.

Combine ingredients for a plot

Probabilistic programming via source rewriting

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

A Julia package for fitting (statistical) mixed-effects models

Julia support for native CUDA programming

Molecular simulation in Julia

Computational geometry in Julia

"Distributions" that might not add to one.

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

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

Geometric Deep Learning for Flux

Metal programming 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

Efficient implementation of struct arrays in Julia

Reusable array functionality for Julia's various GPU backends.

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

A Julia package for Gaussian Processes

A differentiable physics engine for robotics

A Julia package to perform Bifurcation Analysis

Arrays with arbitrarily nested named components.

XGBoost Julia Package

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

A Curious Cumulation of CUDA Cuisine

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

AMD GPU (ROCm) programming in Julia

Named dimensions and indexing for julia arrays and other data