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Search results for julia bayesian inference

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55 search results found

Turing.jl ⭐ 1,925

Bayesian inference with probabilistic programming.

Probabilistic_robotics ⭐ 1,080

solution of exercises of the book "probabilistic robotics"

Dsge.jl ⭐ 831

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Soss.jl ⭐ 401

Probabilistic programming via source rewriting

Measuretheory.jl ⭐ 377

"Distributions" that might not add to one.

Stheno.jl ⭐ 327

Probabilistic Programming with Gaussian processes in Julia

Dynamichmc.jl ⭐ 235

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

A Bayesian Analysis Toolkit in Julia

Bijectors.jl ⭐ 180

Implementation of normalising flows and constrained random variable transformations

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Invertiblenetworks.jl ⭐ 131

A Julia framework for invertible neural networks

Diffeqbayes.jl ⭐ 119

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

Lowlevelparticlefilters.jl ⭐ 105

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Temporalgps.jl ⭐ 104

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

Reactivemp.jl ⭐ 85

High-performance reactive message-passing based Bayesian inference engine

Zigzagboomerang.jl ⭐ 83

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

Bridge.jl ⭐ 77

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Pathfinder.jl ⭐ 72

Preheat your MCMC

Dynare.jl ⭐ 70

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

Tilde.jl ⭐ 69

WIP successor to Soss.jl

Transformvariables.jl ⭐ 64

Transformations to contrained variables from ℝⁿ.

Pigeons.jl ⭐ 62

Distributed and parallel sampling from intractable distributions

Turingglm.jl ⭐ 59

Bayesian Generalized Linear models using `@formula` syntax.

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Dynamichmcexamples.jl ⭐ 37

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Logdensityproblems.jl ⭐ 34

A common framework for implementing and using log densities for inference.

Nestedsamplers.jl ⭐ 33

Implementations of single and multi-ellipsoid nested sampling

Hiqga.jl ⭐ 32

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Dpmmsubclusters.jl ⭐ 30

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

Autogp.jl ⭐ 30

Automated Bayesian model discovery for time series data

Bayesianlinearregressors.jl ⭐ 28

Bayesian Linear Regression in Julia

Pdsampler.jl ⭐ 26

Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)

Embracinguncertainty ⭐ 24

Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

Mcmcdiagnostics.jl ⭐ 22

Markov Chain Monte Carlo convergence diagnostics in Julia

Posteriorplots.jl ⭐ 20

Graphical tools for Bayesian inference and posterior predictive checks.

Hawkesprocesses.jl ⭐ 20

MCMC Inference for a Hawkes process in Julia

Potentiallearning.jl ⭐ 17

An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.

Bayesiansvm ⭐ 16

Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"

Algebraicinference.jl ⭐ 16

Bayesian inference on wiring diagrams.

Markovkernels.jl ⭐ 16

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.

Mathepideeplearning ⭐ 15

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

Genparticlefilters.jl ⭐ 14

Building blocks for simple and advanced particle filtering in Gen.

Bnpmix.jl ⭐ 11

Bayesian Nonparametric Mixture Models in Julia

Hierarchicalgaussianfiltering.jl ⭐ 11

The Julia implementation of the generalised hierarchical Gaussian filter

Bayesianquadrature.jl ⭐ 10

Is there anything we can't make Bayesian?

Expectation Particle Belief Propagation code

Feedbackparticlefilters.jl ⭐ 8

A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems

Bayesiansumproductnetworks ⭐ 8

Implementation of Bayesian Sum-Product Networks

Metric Gaussian Variational Inference

Altdistributions.jl ⭐ 6

Implementations for some distributions using a consistent API and AD-friendly code.

Bayesmodels ⭐ 6

Easy Bayesian models.

Bayesian Inference At Scale

Turing2montecarlomeasurements.jl ⭐ 5

Interface between Turing.jl and MonteCarloMeasurements.jl

Bayes Notebooks ⭐ 5

A Julia package for bayesian probabilistic matrix factorization (BPMF).

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