A Bayesian Analysis Toolkit in Julia

Causal inference, graphical models and structure learning in Julia

Tools for the exploration of chaos and nonlinear dynamics

This library uses the LaTeX package pgfplots to produce plots.

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

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

Differentiable RayTracing in Julia

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

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

Julia port of L.J.P. van der Maaten and G.E. Hintons T-SNE visualisation technique.

Convenience meta-package to load essential packages for statistics

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

String Distances in Julia

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Julia package for simulating Dynamics on Networks

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

Solve non-linear HJB equations.

Perceptually Uniform Colour Maps for Julia

Climate science package for Julia

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

Julia library for homological persistence

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

A package for time series data processing, classification, clustering, and prediction.

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.

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

Julia package for the construction of quantum lattice systems.

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

Package for dynamical modeling of power grids

Local regression, so smooooth!

Parallel distributed-memory version of Gridap

Transforms and pipelines with tabular data in Julia

MADS: Model Analysis & Decision Support

MagNav: airborne Magnetic anomaly Navigation

3D computer vision library in Julia

Large scale Gaussian Mixture Models

Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.