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Search results for julia bayesian inference

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79 search results found

Turing.jl ⭐ 1,877

Bayesian inference with probabilistic programming.

Probabilistic_robotics ⭐ 1,080

solution of exercises of the book "probabilistic robotics"

Dsge.jl ⭐ 813

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 ⭐ 324

Probabilistic Programming with Gaussian processes in Julia

Dynamichmc.jl ⭐ 231

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

A Bayesian Analysis Toolkit in Julia

Bijectors.jl ⭐ 178

Implementation of normalising flows and constrained random variable transformations

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

Invertiblenetworks.jl ⭐ 128

A Julia framework for invertible neural networks

Diffeqbayes.jl ⭐ 120

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 ⭐ 98

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

Temporalgps.jl ⭐ 97

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

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.

Reactivemp.jl ⭐ 74

High-performance reactive message-passing based Bayesian inference engine

Tilde.jl ⭐ 69

WIP successor to Soss.jl

Transformvariables.jl ⭐ 64

Transformations to contrained variables from ℝⁿ.

Turingglm.jl ⭐ 58

Bayesian Generalized Linear models using `@formula` syntax.

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Pigeons.jl ⭐ 49

Distributed and parallel sampling from intractable distributions

Dynare.jl ⭐ 49

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

Logdensityproblems.jl ⭐ 34

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

Dynamichmcexamples.jl ⭐ 34

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

Nestedsamplers.jl ⭐ 33

Implementations of single and multi-ellipsoid nested sampling

Dpmmsubclusters.jl ⭐ 30

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

Bayesianlinearregressors.jl ⭐ 28

Bayesian Linear Regression in Julia

Hiqga.jl ⭐ 27

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

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

Autogp.jl ⭐ 20

Automated Bayesian model discovery for time series data

Hawkesprocesses.jl ⭐ 20

MCMC Inference for a Hawkes process in Julia

Posteriorplots.jl ⭐ 20

Graphical tools for Bayesian inference and posterior predictive checks.

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.

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.

Bayesiansvm ⭐ 16

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

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

Bayesianquadrature.jl ⭐ 10

Is there anything we can't make Bayesian?

Hierarchicalgaussianfiltering.jl ⭐ 10

The Julia implementation of the generalised hierarchical Gaussian filter

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

Bayesian Inference At Scale

Altdistributions.jl ⭐ 6

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

Bayesmodels ⭐ 6

Easy Bayesian models.

Bayes Notebooks ⭐ 5

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

Turing2montecarlomeasurements.jl ⭐ 5

Interface between Turing.jl and MonteCarloMeasurements.jl

Thunderbayes.jl ⭐ 4

A Julia Package for Bayesian Nonparametric Analysis for Machine Learning

Partondensity.jl ⭐ 4

A Bayesian approach to parton density extraction.

Stochastic Cvb0 ⭐ 4

Code implementing Stochastic CVB0 (SCVB0), from: J. R. Foulds, L. Boyles, C. DuBois, P. Smyth and M. Welling. Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013.

Causalgpslc.jl ⭐ 4

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

Thermochron.jl ⭐ 4

Open-source time-Temperature inversion of thermochronometric data

Beluga.jl ⭐ 4

Statistical analysis of gene family evolution using phylogenetic birth-death processes and WGD inference using rjMCMC

Abcdez.jl ⭐ 4

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Nhl Analytics ⭐ 3

Data science analyses delving into National Hockey League (NHL) ice hockey statistics

Julia_bayes_ml_suyama ⭐ 3

reproducing figures using JuliaLang in "Introduction to Machine Learning by Bayesian Inference" written by Suyama

Subspaceinference.jl ⭐ 3

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

Probabilistic Programming And Bayesian Methods For Hackers In Julia ⭐ 3

Probabilistic Programming and Bayesian Methods for Hackers - Julia language

Rankedchoices.jl ⭐ 3

Analyzing ranked/ordinal preference data.

Sequential Monte Carlo methods in Julia (experimental)

Barkermcmc.jl ⭐ 3

gradient based MCMC sampler

Bayes Filters ⭐ 3

Archive of personal implementations of various Bayesian filters.

Gaussianvariationalinference.jl ⭐ 3

Approximate variational inference in Julia

Bayesflux.jl ⭐ 3

Bayesian addition to Flux.jl

Discretepomp.jl ⭐ 2

Bayesian inference for Discrete state-space Partially Observed Markov Processes in Julia. See the docs:

Networkhawkesprocesses.jl ⭐ 2

Network Hawkes processes in Julia.

Reliableavi.jl ⭐ 2

Code to partially reproduce results in "Reliable amortized variational inference with physics-based latent distribution correction"

Indirectlikelihood.jl ⭐ 2

Framework for indirect likelihood estimation.

Stochasticfilters.jl ⭐ 2

A Julia package that provides high-level abstractions for simulating and deploying stochastic filters

Lightbayes.jl ⭐ 2

Light-weight Bayesian models to support research on Bayesian inference and estimation.

Mathepia.jl ⭐ 2

Spatial and temporal epidemiology data mining flow tools including data processing and analysis, model setup and simulation, inference and evaluation. Focusing on state-of-the-art methods such as universal differential equations, epidemiology-informed deep learning methods.

Bayesian_hmm ⭐ 2

Bayesian parameter estimation of HMMs in Julia

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