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A Julia package for behavioural modeling

Julia Package for Active Inference

Common functions in actuarial and financial routines

Generalized linear models for cell-cell communication

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

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

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

Repository for the BarBay Julia package for Bayesian inference of relative fitness on barcode sequencing data.

BOSS (Bayesian Optimization with Semiparametric Surrogate)

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

Basic Camera Models including pinhole, radial distortion and more.

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

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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

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

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Abstraction layer for spanning factor graphs over various technologies

Differentiable JUlia ICE model

Optimal experimental design of ODE and DAE systems in julia

High level functions for analyzing the output of simulations

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Manifolds for the natural parameters of members of the exponential family of distributions

A library to project an arbitrary function to an exponential family member distribution with the manifold optimization

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

Geometry optimization for molecular simulation

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The Julia implementation of the generalised hierarchical Gaussian filter

Fast and flexible glacier ice flow models

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

Methods for computational information geometry

Symmetry-allowed k ⋅ p expansions

Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

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

Lightweight module of neural differential equations in Kinetic.jl

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Differentiation on manifolds

Differential equations on manifolds

Utilities to help testing new groups and actions with Manifolds.jl