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Search results for julia bayesian inference
bayesianinference
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79 search results found
Turing.jl
⭐
1,877
Bayesian inference with probabilistic programming.
Probabilistic_robotics
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1,080
solution of exercises of the book "probabilistic robotics"
Dsge.jl
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813
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Soss.jl
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401
Probabilistic programming via source rewriting
Measuretheory.jl
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377
"Distributions" that might not add to one.
Stheno.jl
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324
Probabilistic Programming with Gaussian processes in Julia
Dynamichmc.jl
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231
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Bat.jl
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178
A Bayesian Analysis Toolkit in Julia
Bijectors.jl
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178
Implementation of normalising flows and constrained random variable transformations
Pclean
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167
A domainspecific probabilistic programming language for scalable Bayesian data cleaning
Invertiblenetworks.jl
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128
A Julia framework for invertible neural networks
Diffeqbayes.jl
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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
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98
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Temporalgps.jl
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97
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
Zigzagboomerang.jl
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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
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77
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Reactivemp.jl
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74
Highperformance reactive messagepassing based Bayesian inference engine
Tilde.jl
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69
WIP successor to Soss.jl
Transformvariables.jl
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64
Transformations to contrained variables from ℝⁿ.
Turingglm.jl
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58
Bayesian Generalized Linear models using `@formula` syntax.
Smc.jl
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52
Sequential Monte Carlo algorithm for approximation of posterior distributions.
Pigeons.jl
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49
Distributed and parallel sampling from intractable distributions
Dynare.jl
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49
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
Logdensityproblems.jl
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34
A common framework for implementing and using log densities for inference.
Dynamichmcexamples.jl
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34
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Nestedsamplers.jl
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33
Implementations of single and multiellipsoid nested sampling
Dpmmsubclusters.jl
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30
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
Bayesianlinearregressors.jl
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28
Bayesian Linear Regression in Julia
Hiqga.jl
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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
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26
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
Embracinguncertainty
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24
Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
Mcmcdiagnostics.jl
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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
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20
Graphical tools for Bayesian inference and posterior predictive checks.
Potentiallearning.jl
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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 highperformance computing.
Algebraicinference.jl
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16
Bayesian inference on wiring diagrams.
Markovkernels.jl
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16
Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.
Bayesiansvm
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16
Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"
Mathepideeplearning
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15
Awesomespatialtemporaldataminingpackages. 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
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14
Building blocks for simple and advanced particle filtering in Gen.
Bnpmix.jl
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11
Bayesian Nonparametric Mixture Models in Julia
Bayesianquadrature.jl
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10
Is there anything we can't make Bayesian?
Hierarchicalgaussianfiltering.jl
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10
The Julia implementation of the generalised hierarchical Gaussian filter
Epbp
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9
Expectation Particle Belief Propagation code
Feedbackparticlefilters.jl
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8
A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems
Bayesiansumproductnetworks
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8
Implementation of Bayesian SumProduct Networks
Mgvi.jl
⭐
7
Metric Gaussian Variational Inference
Bias.jl
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6
Bayesian Inference At Scale
Altdistributions.jl
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6
Implementations for some distributions using a consistent API and ADfriendly code.
Bayesmodels
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6
Easy Bayesian models.
Bayes Notebooks
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5
Notebooks
Bpmf.jl
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5
A Julia package for bayesian probabilistic matrix factorization (BPMF).
Turing2montecarlomeasurements.jl
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5
Interface between Turing.jl and MonteCarloMeasurements.jl
Thunderbayes.jl
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4
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
Partondensity.jl
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4
A Bayesian approach to parton density extraction.
Stochastic Cvb0
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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
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4
Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.
Thermochron.jl
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4
Opensource timeTemperature inversion of thermochronometric data
Beluga.jl
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4
Statistical analysis of gene family evolution using phylogenetic birthdeath processes and WGD inference using rjMCMC
Abcdez.jl
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4
Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
Nhl Analytics
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3
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
Julia_bayes_ml_suyama
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3
reproducing figures using JuliaLang in "Introduction to Machine Learning by Bayesian Inference" written by Suyama
Subspaceinference.jl
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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
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3
Probabilistic Programming and Bayesian Methods for Hackers  Julia language
Rankedchoices.jl
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3
Analyzing ranked/ordinal preference data.
Smc.jl
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3
Sequential Monte Carlo methods in Julia (experimental)
Barkermcmc.jl
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3
gradient based MCMC sampler
Bayes Filters
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3
Archive of personal implementations of various Bayesian filters.
Gaussianvariationalinference.jl
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3
Approximate variational inference in Julia
Bayesflux.jl
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3
Bayesian addition to Flux.jl
Discretepomp.jl
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2
Bayesian inference for Discrete statespace Partially Observed Markov Processes in Julia. See the docs:
Networkhawkesprocesses.jl
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2
Network Hawkes processes in Julia.
Reliableavi.jl
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2
Code to partially reproduce results in "Reliable amortized variational inference with physicsbased latent distribution correction"
Indirectlikelihood.jl
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2
Framework for indirect likelihood estimation.
Stochasticfilters.jl
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2
A Julia package that provides highlevel abstractions for simulating and deploying stochastic filters
Lightbayes.jl
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2
Lightweight Bayesian models to support research on Bayesian inference and estimation.
Mathepia.jl
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2
Spatial and temporal epidemiology data mining flow tools including data processing and analysis, model setup and simulation, inference and evaluation. Focusing on stateoftheart methods such as universal differential equations, epidemiologyinformed deep learning methods.
Bayesian_hmm
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2
Bayesian parameter estimation of HMMs in Julia
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