Automatic differentiation of implicit functions

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.

Flexible tables with ordered indices

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

A flexible neural net training library inspired by fast.ai

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

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

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Divide and Conquer Linear Algebra

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Algebraic Multigrid in Julia

Perceptually Uniform Colour Maps for Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Julia implementation of Parquet columnar file format reader

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Combinatorial optimization layers for machine learning pipelines

A standard library of components to model the world and beyond

Equation-based modeling and simulations in Julia

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

A Julia package for producing publication quality figures based on Makie.jl.

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Interactive visualization tools for Julia

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Utilities and abstractions for Machine Learning tasks

Word cloud generator in julia

Explainable AI in Julia.

Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.

Starter kit for legendary models

Readily pin Julia threads to CPU-threads

Probabilistic Circuits from the Juice library

Package for dynamical modeling of power grids

JulGame is a 2D game engine based on the Julia programming language with the help of SDL2.

Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.

3D computer vision library in Julia

MADS: Model Analysis & Decision Support

MagNav: airborne Magnetic anomaly Navigation

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