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 5 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆51Updated 6 years ago
• safl / ndarray_plot
  Script for plotting / visualizing three dimensional arrays.
  ☆25Updated 9 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• NICTA / obsidian
  Probabilistic multi-sensor geophysical inversions on clusters
  ☆10Updated 7 years ago
• rtavenar / dtw_resample
  Resample data based on DTW alignment
  ☆10Updated 7 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• kuchaale / X-regression
  Multiple linear regression from Statsmodels library coupled with Xarray library
  ☆12Updated 5 years ago
• Snegovikufa / HPGL-GUI
  This is GUI for High Perfomance Geostatistics Library
  ☆24Updated 7 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• beamandrew / HMC_GPU
  Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"
  ☆35Updated 8 years ago
• NICTA / stateline
  Distributed Markov Chain Monte Carlo
  ☆30Updated 6 years ago
• duvenaud / harlemcmc-shake
  Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
  ☆37Updated 10 years ago
• rmsander / learning-machine_learning
  A repository for learning the fundamentals of machine learning through concepts, implementation, and real-world examples.
  ☆12Updated 4 months ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 4 years ago
• iabaldwin / MCMCIntro
  Introductory notes on MCMC
  ☆13Updated 12 years ago
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆39Updated 5 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 7 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
• sods / ods
  Open Data Science
  ☆33Updated last month
• UCIDataScienceInitiative / AdvPredictiveModeling_withPython
  Jupyter Notebooks for Adv. Predictive Modeling Course
  ☆15Updated 7 years ago
• jklymak / Phy411
  Phy411 Time Series Analysis - University of Victoria
  ☆19Updated 8 years ago
• avehtari / BDA_m_demos
  Bayesian Data Analysis demos for Matlab/Octave
  ☆63Updated 5 years ago
• dbuscombe-usgs / pysesa
  python module for spatially explicit spectral analysis
  ☆11Updated 5 years ago
• skolouri / Cumulative-Distribution-Transform
  Cumulative Distribution Transform
  ☆16Updated 7 years ago
• raspstephan / Lorenz-Online
  Experiments demonstrating coupled online learning for machine learning parameterizations
  ☆20Updated last year
• profLewis / geogg122
  Scientific Computing
  ☆51Updated 5 years ago