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

Flexible tables with ordered indices

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

Julia interface to gnuplot

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

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

Perceptually Uniform Colour Maps for Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Algebraic Multigrid in Julia

Divide and Conquer Linear Algebra

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

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

Julia library for homological persistence

Line search methods for optimization and root-finding

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

Sum of Squares Programming for Julia

Hydrological modeling

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

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

Fast derivative evaluation

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 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

Periodic Table for Julians! :fire:

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

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 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.

Julia package for the construction of quantum lattice systems.

Statistical bootstrapping library for Julia

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

Using Vulkan from Julia