Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

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

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Bayesian inference with probabilistic programming.

Lie groups and algebra with some quaternions

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

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

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

2D plotting functionality for the RoME.jl package

Collection 3D visualization tools associated with the Caesar.jl and RoME.jl robot navigation packages

Approximate the product between infinite functional objects on a manifold -- i.e. belief products

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

Comparing performance and results of mcmc options using Julia

Marginalized log-probability functions in Julia

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

Common functions in actuarial and financial routines

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.

EHT Image domain analysis through template matching.

Composable contracts, models, and functions that allow for modeling of both simple and complex financial instruments

Methods for computational information geometry

Ship maneuvering simulation tool with respect to ShipMMG model

Turing + Makie = Turkie

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Generalized linear models for cell-cell communication

Lightweight module for fusing physical and neural models

Lightweight module of neural differential equations in Kinetic.jl

Basic Camera Models including pinhole, radial distortion and more.

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

Differential equations on manifolds

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

[WIP] Wrapper package for simulation and bayesian inference of behavioral models

Preheat your MCMC

Bayesian Generalized Linear models using `@formula` syntax.

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.

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Julia implementation of maximum entropy graph models

Differentiable JUlia ICE model

Statistical Inference to DEtermine KICKS on compact objects