Julia package for simulating Dynamics on Networks

Complex neural network examples for Flux.jl

For working with dimensions of arrays by name

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

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

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

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.

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

Flexible tables with ordered indices

Julia interface to gnuplot

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.

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Perceptually Uniform Colour Maps for Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Algebraic Multigrid in Julia

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Julia library for homological persistence

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

Climate science package for Julia

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

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

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

Julia implementation of Parquet columnar file format reader

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.

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Combinatorial optimization layers for machine learning pipelines

A standard library of components to model the world and beyond

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

Equation-based modeling and simulations in Julia

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.

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

Statistical bootstrapping library for Julia