Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Gaussian Process package based on data augmentation, sparsity and natural gradients

A Julia interface to the CPLEX solver

Journal-style regression tables

System Identification toolbox, compatible with ControlSystems.jl

A solver for mixed-integer convex optimization

Proximal operators for nonsmooth optimization in Julia

Proximal algorithms for nonsmooth optimization in Julia

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Beautiful and flexible vizualizations of high dimensional data

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

ODE integration using Taylor's method, and more, in Julia

Library for finding the roots of a function using interval arithmetic

Julia package for simulating Dynamics on Networks

Algorithms and data structures for game theory in Julia

Complex neural network examples for Flux.jl

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

Solve non-linear HJB equations.

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.

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

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

Divide and Conquer Linear Algebra

Perceptually Uniform Colour Maps for Julia

Algebraic Multigrid in Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

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

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Line search methods for optimization and root-finding

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

Hydrological modeling

Sum of Squares Programming for Julia