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
  ☆224Updated 5 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• tensorchiefs / dl_book
  legend
  ☆208Updated 2 years ago
• wiseodd / MCMC
  Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
  ☆387Updated 8 years ago
• vsmolyakov / ml
  machine learning
  ☆39Updated 7 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 8 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆75Updated 3 years ago
• zjost / bayesian-linear-regression
  A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/
  ☆82Updated 9 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• bobflagg / gibbs-sampling-for-the-uninitiated
  Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty
  ☆14Updated 7 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆64Updated 4 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆221Updated 2 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• vcerqueira / experiments-sizematters
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 3 weeks ago
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆23Updated 7 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• pat-hanbury / MonteCarloTutorial
  Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling
  ☆76Updated 6 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
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 5 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆28Updated 5 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• thomasjpfan / ml-workshop-advanced
  ☆15Updated 3 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆56Updated 7 years ago
• jckantor / ESTM60203
  Introduction to Operations Research
  ☆100Updated 6 years ago
• HamishWoodrow / anomaly_detection
  This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average wit…
  ☆62Updated 7 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆74Updated last year