Convenience meta-package to load essential packages for statistics

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Read ONNX graphs in Julia

A fast image augmentation library in Julia for machine learning.

It slices, it dices, it splices!

Gaussian Process package based on data augmentation, sparsity and natural gradients

Interactive display of images and movies

Fermi quantum chemistry program

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Plotting graphs with Makie

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

System Identification toolbox, compatible with ControlSystems.jl

Proximal algorithms for nonsmooth optimization in Julia

Proximal operators for nonsmooth optimization in Julia

Beautiful and flexible vizualizations of high dimensional data

The Base interface of the SciML ecosystem

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

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

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

Reading and writing of video files in Julia via ffmpeg

Julia package for simulating Dynamics on Networks

For working with dimensions of arrays by name

Algorithms and data structures for game theory in Julia

Complex neural network examples for Flux.jl

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

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.

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

Flexible tables with ordered indices

A flexible neural net training library inspired by fast.ai

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

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Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Algebraic Multigrid in Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Perceptually Uniform Colour Maps for Julia

Divide and Conquer Linear Algebra

Climate science package for Julia