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41 search results found
Probabilistic_robotics
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1,080
solution of exercises of the book "probabilistic robotics"
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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327
Probabilistic Programming with Gaussian processes in Julia
Dynamichmc.jl
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235
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Bat.jl
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185
A Bayesian Analysis Toolkit in Julia
Bijectors.jl
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180
Implementation of normalising flows and constrained random variable transformations
Invertiblenetworks.jl
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131
A Julia framework for invertible neural networks
Lowlevelparticlefilters.jl
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105
State estimation, smoothing and parameter estimation using Kalman and particle filters.
Temporalgps.jl
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104
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
Reactivemp.jl
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85
Highperformance reactive messagepassing based Bayesian inference engine
Pathfinder.jl
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72
Preheat your MCMC
Dynare.jl
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70
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
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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59
Bayesian Generalized Linear models using `@formula` syntax.
Smc.jl
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52
Sequential Monte Carlo algorithm for approximation of posterior distributions.
Dynamichmcexamples.jl
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37
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Logdensityproblems.jl
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34
A common framework for implementing and using log densities for inference.
Dpmmsubclusters.jl
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30
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
Autogp.jl
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30
Automated Bayesian model discovery for time series data
Bayesianlinearregressors.jl
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28
Bayesian Linear Regression in Julia
Embracinguncertainty
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24
Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
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.
Hierarchicalgaussianfiltering.jl
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11
The Julia implementation of the generalised hierarchical Gaussian filter
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?
Bayesiansumproductnetworks
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8
Implementation of Bayesian SumProduct Networks
Feedbackparticlefilters.jl
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8
A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems
Mgvi.jl
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7
Metric Gaussian Variational Inference
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.
Bias.jl
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6
Bayesian Inference At Scale
Bpmf.jl
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5
A Julia package for bayesian probabilistic matrix factorization (BPMF).
Bayes Notebooks
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5
Notebooks
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