Virtual Age Models for Julia

Extra add-on systems for the Julia game framework B+

DFT from SDR directly in a Julia REPL !

An implementation of the Atiyah-Bott formula for the moduli space of genus 0 stable maps for toric varieties.

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This package is a part of RSim, however, may also be used as an independent package for the calculation of source terms from an xml mechanism input file

Optimization of geometric and photometric models for visual geometry tasks

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Access data from the Allen Institute's open Neuropixels datasets

A Julia package for loading many of the datasets available in CDM R package

Load, format, analyze, and plot the Allen Neuropixels datasets

Test cases for BAT.jl and for Bayesian Julia software in general

Julia simulation package for TKTD models

A interior-point solver for semidefinite programming written in pure Julia.

Julia implementation of the Bayesian blocks algorithm

Basic time-series features in Julia

Bayesian regression models for size-and-shape data

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Core structures that are shared for various Baytes modules

Package for modeling options contracts

Wrappers to differentiate `ModelWrapper` structs, see ModelWrappers.jl.

A library to perform particle filtering for one parameter in a `ModelWrapper` struct.

A library to perform MCMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl.

Optimization library for Baytes modules

A library to perform particle MCMC proposal steps for parameter in a `ModelWrapper` struct, see [ModelWrappers.jl](https://github.com/paschermayr/ModelWrappers.jl).

A package for the calculation of steady state coverages for a given gas composition, T and p

BaytesSMC.jl is a library to perform SMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl. Kernels that are defined in BaytesMCMC.jl and BaytesFilters.jl can be used inside this library.

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This is an visualization package.

Sampling from an unnormalized pdf in Julia using Walker's MCMC algorithm

Various closures models (closure -> seal -> seal 🦭 -> walrus) for ocean flavoured fluid dynamics

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Non parametric productivity analysis under the B-disposal assumption

DEPRECIATED :: Use PowerModelsDistribution.jl

Standard data cleaning tools prior to generating BEAST xml file

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