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
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 5 years ago
• brandonckelly / CUDAHM
  Routines for using CUDA to perform MCMC Sampling of Hierarchical Models with GPUs.
  ☆16Updated 8 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆52Updated 7 years ago
• guillaumelenoir / WAVEPAL
  Frequency and time-frequency analysis for irregularly sampled time series
  ☆23Updated 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.
  ☆20Updated 10 years ago
• NICTA / obsidian
  Probabilistic multi-sensor geophysical inversions on clusters
  ☆10Updated 7 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆19Updated 5 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• sods / ods
  Open Data Science
  ☆33Updated 8 months ago
• jakobrunge / tigramite_old
  Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…
  ☆33Updated 8 years ago
• Networks-Learning / l1-ls.py
  L1 regularized Least Squares minimization problem solver.
  ☆17Updated 8 years ago
• joferkington / oost_paper_code
  Scripts and software for out-of-sequence shortening calculations
  ☆26Updated 11 years ago
• safl / ndarray_plot
  Script for plotting / visualizing three dimensional arrays.
  ☆25Updated 10 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆34Updated 8 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• robertnishihara / gess
  An MCMC algorithm for sampling continuous probability distributions in parallel
  ☆19Updated 10 years ago
• libqueso / queso
  QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation a…
  ☆60Updated 6 years ago
• ctgk / bayesnet
  Bayesian method library for Python
  ☆33Updated 6 years ago
• EMS-TU-Ilmenau / fastmat
  A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.
  ☆25Updated last year
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆52Updated 4 years ago
• duvenaud / harlemcmc-shake
  Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
  ☆36Updated 11 years ago
• nigma / pywt
  We're moving. Please visit https://github.com/PyWavelets
  ☆167Updated 4 years ago