Alternatives and similar repositories for multichain_mcmc

Users that are interested in multichain_mcmc are comparing it to the libraries listed below

• mjmt05 / rjmcmc
  C++ code for a reversible jump Markov chain Monte Carlo algorithm to sample changepoints
  ☆16Updated 6 years ago
• slwu89 / MCMC
  C++ & R code for Markov Chain Monte Carlo estimation (Gibbs sampling, MH random walk, various flavors of adaptive MCMC, etc), and functio…
  ☆15Updated 4 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 5 years ago
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆19Updated 5 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆53Updated 6 years ago
• safl / ndarray_plot
  Script for plotting / visualizing three dimensional arrays.
  ☆25Updated 10 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 5 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 6 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• drrelyea / spgl1
  Port of SPGL1 to python
  ☆46Updated 9 months ago
• titusjan / hill_shading
  Hill Shading implementation for Matplotlib
  ☆11Updated 9 years ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆14Updated 5 years ago
• NICTA / obsidian
  Probabilistic multi-sensor geophysical inversions on clusters
  ☆10Updated 7 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• minjay / NeedMat
  A Matlab Package for Spherical Needlets
  ☆9Updated last year
• fonnesbeck / pymc_tutorial
  PyMC Tutorial for SciPy 2011
  ☆27Updated 13 years ago
• kvasilaky / InverseProblem
  This function inverts ill conditioned matrices using an iterative solution to the Tikhonov regularization problem. It takes three argumen…
  ☆27Updated 2 years ago
• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 10 years ago
• brandonckelly / CUDAHM
  Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.
  ☆16Updated 7 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• mfouesneau / faststats
  fast algorithm to do statistics on big data
  ☆37Updated 5 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• beamandrew / HMC_GPU
  Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"
  ☆35Updated 8 years ago
• Snegovikufa / HPGL-GUI
  This is GUI for High Perfomance Geostatistics Library
  ☆24Updated 8 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago