metropolis-hastings

There are 6 repositories under metropolis-hastings topic.

• littleballoffur

  benedekrozemberczki / littleballoffur

  Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

  graphgraph-samplingnetwork-samplingrandom-walkforest-firenode-embeddingnetwork-embeddingminimum-spanning-treegraph-embeddingsamplingmetropolis-hastingsnetwork-sciencenetwork-analyticsdeep-learningmachine-learninggraph-sparsificationgraph-algorithmsnetworkxcommunity-structure
  Language:Python 692

• Joseph94m / MCMC

  Implementation of Markov Chain Monte Carlo in Python from scratch

  machine-learningmcmcmarkov-chain-monte-carlometropolis-hastingsbayesian-inference
  Language:Jupyter Notebook 196

• kthohr / mcmc

  A C++ library of Markov Chain Monte Carlo (MCMC) methods

  cppcpp11mcmcmetropolis-hastingshmcmaladedifferential-evolutionlangevin-diffusionriemannian-manifoldarmadillomarkov-chain-monte-carlohamiltonian-monte-carloautomatic-differentiationeigen3eigen
  Language:C++ 157

• stablemarkets / BayesianTutorials

  Implementing MCMC sampling from scratch in R for various Bayesian models

  bayesianmcmcmetropolis-hastingsgibbsbayesian-linear-regression
  Language:HTML 105

• shiinamiyuki / miyuki-renderer

  Experimental Physically Based Renderer

  pbrtraytracerpath-tracerglobal-illuminationrendererembreecomputer-graphicspbrt-stylemetropolis-hastingsmonte-carlo
  Language:C++ 91

• TuringLang / AdvancedMH.jl

  Robust implementation for random-walk Metropolis-Hastings algorithms

  metropolis-hastingsmcmcadaptive-mcmc
  Language:Julia 85

• m-clark / bayesian-basics

  :no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

  bayesian-inferencebayesian-methodsstanrstanrbayesian-statisticsbayesianmcmchamiltonian-monte-carlogibbsposterior-probabilitypriorlikelihoodmetropolis-hastingsposterior-predictiveregression-modelsbayesian-analysisbayesian-data-analysisbrmsrstanarm
  Language:Stan 83

• mjlaine / mcmcstat

  MCMC toolbox for Matlab

  mcmcmatlabmetropolis-hastingsadaptive-mcmcdram
  Language:MATLAB 81

• prmiles / pymcmcstat

  Python implementation of MATLAB toolbox "mcmcstat"

  pythonmcmcmetropolis-hastingsmarkov-chain-monte-carlodelayed-rejectionadaptive-metropolis
  Language:Jupyter Notebook 67

• abdulfatir / sampling-methods-numpy

  This repository contains implementations of some basic sampling methods in numpy.

  monte-carlomonte-carlo-methodsipython-notebookpythonnumpymetropolis-hastings
  Language:Jupyter Notebook 61

• caphindsight / ergothic

  Rust library for setting up and running distributed Monte-Carlo statistical simulations. Designed primarily for lattice QCD.

  rustrust-libraryquantum-mechanicsqcdlattice-qcdqftmonte-carlomonte-carlo-simulationmetropolismetropolis-hastings
  Language:Rust 40
• GaussianMixMCMC_Metropolis

  leandrofgr / GaussianMixMCMC_Metropolis

  Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion

  faciesgaussian-mixture-modelsgeophysicsinverse-problemsmcmcmetropolis-hastingsseismic-inversion
  Language:MATLAB 24

• grigala / 3DMMDepthFitting

  Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies

  3dmm3d-face-modellingshape-reconstructionthesisscala3d-depth-informationpythoncomputer-visionmachine-learningmcmcmetropolis-hastingsbayesian-inferencereconstruction-processmscdepth-cameraprobabilistic-fittingbasel-face-modelbfmopencvimage-processing
  Language:Scala 23

• cstyl / mcmc

  Accelerate MCMC algorithm on GPU for Big Data Applications

  ccudagpumarkov-chainmcmcmcmc-samplermetropolis-hastingsmonte-carlo
  Language:Cuda 20

• nardeas / MHGAN-Tensorflow

  Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling

  mhganganwganmetropolis-hastingstensorflowmhgan-tensorflowwasserstein-gan
  Language:Python 19

• lxcnju / sampling

  Some methods to sampling data points from a given distribution.

  sampling-methodscdfbox-mullermetropolis-hastingsrejection-samplingimportance-sampling
  Language:Python 14
• fmcmc

  USCbiostats / fmcmc

  A friendly MCMC framework

  mcmcadaptiveparallel-computingmarkov-chain-monte-carlor-packagebayesian-inferencermetropolis-hastings
  Language:R 13

• transitive-bullshit / Milton

  C++ Rendering Framework w/ MLT, bidi path tracing, etc. and OpenGL Previews (undergrad thesis project from Brown '09)

  renderinggraphics3d3d-graphicsopenglmetropolis-hastingsphoton-mappingpath-tracing
  12

• ChickenBenny / Metropolis-Hasting-WGAN-on-stock-prediction

  Use metropolis hasting to enhance gan on stock prediction

  metropolis-hastingsstock-price-predictionwgan
  Language:Jupyter Notebook 11

• petermchale / tumor

  A spatial Markov model of agents making decisions based upon their surroundings. Stochastic optimization via Markov Chain Monte Carlo (Metropolis-Hastings algorithm). Interactive visualization of data using the JavaScript library D3.

  monte-carlo-simulationagent-based-modelingmetropolis-hastingsd3js
  Language:Jupyter Notebook 8

• choo8 / mcmc-algorithms

  Implementation of MCMC Algorithms Metropolis-Hastings and Gibbs Sampling

  pythongibbs-samplingmetropolis-hastingsmarkov-chain-monte-carlo
  Language:Jupyter Notebook 7

• franciscovalentecastro / trajectory_prediction_mcmc

  Applications of distribution modeling and MCMC methods to intention forecasting

  mcmcmetropolis-hastingspedestriantrajectorytrajectory-prediction-mcmcvae
  Language:Python 7

• lukas-a-olson / item-response-theory

  IRT models using various Bayesian methods

  irtitem-response-theoryraschmodelrasch-modelmcmcmetropolis-hastingsmarkov-chain-monte-carlo
  Language:HTML 6

• bloptman / feynman-path-integral

  Python code that performs that Feynman path integral for a specified potential. Demonstrated by approximating the average energy of the quantum harmonic oscillator for various temperatures.

  quantum-mechanicsphysicsphysics-simulationpythonpath-integralpath-integral-monte-carlomonte-carlo-simulationmonte-carlometropolis-hastings-algorithmmetropolis-hastingsuclaharmonic-oscillator
  Language:Jupyter Notebook 5

• mspronesti / advanced-statistical-inference

  Notebooks for Advanced Statistical Inference(ASI) course at EURECOM

  asibayesianbayesian-inferencebayesian-logistic-regressioneurecommcmcbayesian-lineakmeanslaplace-approximationmetropolis-hastingsprobabilistic-pcabayesian-statistics
  Language:Jupyter Notebook 5

• nstepp / ingraph

  Tool for optimizing portal links in the game Ingress

  ingressmetropolis-hastingsising-modelingress-links
  Language:Haskell 5

• compops / rjmcmc-sysid2012

  Hierarchical Bayesian approaches for robust inference in ARX models

  autoregressive-processesgibbs-samplingmetropolis-hastingsreversible-jump-mcmcsystem-identification
  Language:Matlab 4

• DamascenoRafael / mcmc-knapsack-problem

  Python development to solve the 0/1 Knapsack Problem using Markov Chain Monte Carlo techniques, dynamic programming and greedy algorithm.

  mcmcmarkov-chainmonte-carloknapsackknapsack-problemsimulated-annealingmetropolis-hastingshill-climbingrandom-walk
  Language:Python 4

• eggplantbren / NS_731

  Metropolis and Nested Sampling in R

  bayesian-inferencebayesian-statisticsmarkov-chain-monte-carlornested-samplingmetropolis-hastings
  Language:R 4

• koriavinash1 / pgm

  Graph: Representation, Learning, and Inference Methods

  pgmpgm-representationpgm-inferencepgm-learningprobabilitybayesian-inferencebayesian-networkmarkov-networksmetropolis-hastingsgibbs-sampling-algorithmdfsbfsactive-trailsinferencebn-representationgibbs-samplinggraphmessage-passing-interfaceloopy-belief-propagation
  Language:Python 4

• lanl / pyDNA_EPBD

  pyDNA-EPBD: A Python-based Implementation of the Extended Peyrard-Bishop-Dauxois Model for DNA Breathing Dynamics Simulation

  dnadna-breathingflipping-characteristicsgenomicsmcmcmetropolis-hastings
  Language:Jupyter Notebook 4

• openPfizer / vpop-gen

  Virtual population generation, fitting, and benchmarking.

  quantitative-systems-pharmacologybiological-modelingvirtual-populationode-modelgenetic-algorithmglobal-optimizationmetropolis-hastingsmonte-carlo-samplingacceptance-rejectionqsp
  Language:MATLAB 4

• scheidan / BarkerMCMC.jl

  gradient based MCMC sampler

  adaptive-mcmcmcmcmetropolis-hastingsbayesian-inference
  Language:Julia 4
• bayesian-statistics-homeworks

  stinco / bayesian-statistics-homeworks

  Homeworks from the Bayesian Statistics course of accademic year 2018/2019 at University of Trieste

  statisticsbayesian-statisticsbayesian-methodstriesteuniversitymcmcmetropolis-hastingsgibbs-samplingstanr
  Language:HTML 4

• draktr / monte-library

  Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

  artificial-intelligencebayesian-inferencebioinformaticschemistryengineeringfinancegibbs-samplinghamiltonian-monte-carloimportance-samplingintegrationmarkov-chain-monte-carlomathematicsmcmcmetropolis-hastingsmetropolis-monte-carlomonte-carlophysicsquantitative-financerejection-samplingstatistical-computing
  Language:Python 3

• Garbaz / probprog

  Probabilistic programming embedded in Rust

  metropolis-hastingsprobabilistic-programmingrust
  Language:Rust 3