Bayesian inference with probabilistic programming.

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

A Julia library for efficient tensor computations and tensor network calculations

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Combine ingredients for a plot

Probabilistic programming via source rewriting

A Julia package for fitting (statistical) mixed-effects models

An alternative interface for dictionaries in Julia, for improved productivity and performance

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Research package for automatic differentiation of programs containing discrete randomness.

A Bayesian Analysis Toolkit in Julia

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

Simple, fast, column-based storage for data analysis in Julia

Split-apply-combine strategies for Julia

Package for Simulation, Tomography and Analysis of Quantum Computers

Convenience meta-package to load essential packages for statistics

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

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

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

High level functions for analyzing the output of simulations

Solid state detector field and charge drift simulation in Julia

Preheat your MCMC

WIP successor to Soss.jl

Bayesian Generalized Linear models using `@formula` syntax.

Simulation of quantum systems on a lattice

Turing + Makie = Turkie

Support package for doing Calculus with Julia

Plotting and interface tools for biology.

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Analysis of complex surveys

Time dependent variational principle (TDVP) of MPS based on ITensors.jl.

Arrays with acceleration indices

For analysis of microbiome and microbial community data

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

A toolbox meant for aircraft design analyses.

A toolbox meant for aircraft design analyses.

A small collection of semi-automatic performance checking tools