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

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

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

Julia interface to gnuplot

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

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.

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

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

Julia library for homological persistence

Climate science package for Julia

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Sum of Squares Programming for Julia

Julia implementation of Parquet columnar file format reader

Roll a window over data; apply a function over the window.

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

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.

Combinatorial optimization layers for machine learning pipelines

Evaluating Robustness of Neural Networks with Mixed Integer Programming

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

Equation-based modeling and simulations in Julia

A standard library of components to model the world and beyond

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.

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.

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

Fast and automatic structural identifiability software for ODE systems

Statistical bootstrapping library for Julia

Julia package for the construction of quantum lattice systems.

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