Kernel density estimators for Julia

Boosted trees in Julia

Fast, general-purpose interactive applications for complex systems

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Implementations of the models from the Statistical Rethinking book with Turing.jl

Causal, Higher-Order, Probabilistic Programming

Core functionality for the MLJ machine learning framework

Sparse tensors in Julia and more! Datastructure-driven array programing language.

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

Automatic Finite Difference PDE solving with Julia SciML

A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Algorithms for quantifying associations, independence testing and causal inference from data.

Algorithms for quantifying associations, independence testing and causal inference from data.

Lasso/Elastic Net linear and generalized linear models

A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

Convenience meta-package to load essential packages for statistics

Quantlib implementation in pure Julia

ConstraintSolver in Julia: Blog posts ->

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

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

Journal-style regression tables

System Identification toolbox, compatible with ControlSystems.jl

Beautiful and flexible vizualizations of high dimensional data

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Algorithms and data structures for game theory in Julia

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

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

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.

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Climate science package for Julia

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

Julia library for homological persistence

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

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