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

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

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Algebraic Multigrid in Julia

Divide and Conquer Linear Algebra

Perceptually Uniform Colour Maps for Julia

Climate science package for Julia

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

Julia library for homological persistence

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

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

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

Hydrological modeling

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

Line search methods for optimization and root-finding

Sum of Squares Programming for Julia

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

Fast derivative evaluation

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

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Combinatorial optimization layers for machine learning pipelines

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

Periodic Table for Julians! :fire:

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.

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.

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

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

Julia package for the construction of quantum lattice systems.

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