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
  ☆221Updated 5 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 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
• 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
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆65Updated 2 years ago
• xiecong / Simple-Implementation-of-ML-Algorithms
  My simplest implementations of common ML algorithms
  ☆20Updated 2 years ago
• pat-hanbury / MonteCarloTutorial
  Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling
  ☆75Updated 6 years ago
• vsmolyakov / ml
  machine learning
  ☆39Updated 7 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆75Updated 3 years ago
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆24Updated 6 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆136Updated 5 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 6 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 7 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…
  ☆63Updated 6 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• alan-turing-institute / bocpdms
  ☆35Updated 6 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆103Updated 3 years ago
• bnaul / IrregularTimeSeriesAutoencoderPaper
  ☆65Updated last year
• nbip / notMIWAE
  Code accompanying the notMIWAE paper
  ☆15Updated 4 years ago
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆28Updated 5 years ago
• tgray / weibull
  weibull analysis routines in python - quick and dirty
  ☆10Updated 8 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆135Updated 4 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆149Updated 4 years ago
• lopatovsky / HMMs
  Continuous-time Hidden Markov Model
  ☆102Updated last year
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆156Updated 7 years ago
• dioph / periodicity
  Useful tools for periodicity analysis in time series data.
  ☆40Updated last year
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 2 years ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆87Updated 6 years ago
• isadoranun / FATS
  ☆75Updated last year