Alternatives and similar repositories for mcmc-tutorial:

Users that are interested in mcmc-tutorial are comparing it to the libraries listed below

• Joseph94m / MCMC
  Implementation of Markov Chain Monte Carlo in Python from scratch
  ☆212Updated 4 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• ejhigson / dyPolyChord
  Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
  ☆22Updated 4 years ago
• leowyy / mcmc-importance-sampling
  Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
  ☆11Updated 7 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated last year
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆23Updated 6 years ago
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆19Updated 4 years ago
• LeahPrice / SMC-NS
  Unbiased and Consistent Nested Sampling via Sequential Monte Carlo
  ☆14Updated this week
• xiecong / Simple-Implementation-of-ML-Algorithms
  My simplest implementations of common ML algorithms
  ☆20Updated last year
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated this week
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆58Updated 7 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 10 months ago
• JohannesBuchner / nested-sampling
  Pythonic Nested Sampling Development Framework & UltraNest
  ☆8Updated 6 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆101Updated 2 years ago
• dioph / periodicity
  Useful tools for periodicity analysis in time series data.
  ☆38Updated 8 months ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 2 weeks ago
• Mik3M4n / BaCoN
  BAyesian COsmological Network - a bayesian neural network for classification of dark energy/modified gravity power spectra
  ☆14Updated 2 years ago
• aakashpatel25 / World-GDP-Analysis-And-Prediction
  Clustering important economic factors that affect the GDP of a country and based on these indicators predict GDP of that country.
  ☆16Updated 8 years ago
• phuijse / P4J
  Periodic time series analysis tools based on information theory
  ☆55Updated 11 months ago
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆24Updated 6 years ago
• ssanderson / convex-optimization-for-finance
  Talk Materials for "Convex Optimization for Finance"
  ☆28Updated 2 years ago
• USC-Melady / Granger-causality
  This repository contains efficient implementation of Granger causality and its extensions. Please see the wiki page for instructions.
  ☆21Updated 10 years ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆61Updated last year
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 6 years ago