Differentiating convex optimization programs w.r.t. program parameters

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

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

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Algebraic Multigrid in Julia

Perceptually Uniform Colour Maps for Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Large-scale, distributed, sparse linear algebra in Julia.

Climate science package for Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

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

Sum of Squares Programming for Julia

PortAudio wrapper for the Julia programming language, compatible with the JuliaAudio family of packages

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

A package for time series data processing, classification, clustering, and prediction.

A standard library of components to model the world and beyond

Equation-based modeling and simulations in Julia

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

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.

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.

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

Julia package for the construction of quantum lattice systems.

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Word cloud generator in julia

Exploratory analysis of Bayesian models with Julia

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

Package for dynamical modeling of power grids

Transforms and pipelines with tabular data in Julia

Parallel distributed-memory version of Gridap

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants

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

MADS: Model Analysis & Decision Support

MagNav: airborne Magnetic anomaly Navigation

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

Time series implementation for the Julia language focused on efficiency and flexibility

Yet Another XArray-like Julia package