 Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
 Probabilistic-Programming-and-Bayesian-Methods-for-Hackers 
 Bayesian tutorial
 An introduction to Bayesian methods and probabilistic programming for software developers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
27k stars
 1k watching
 8k forks
 
Language: Jupyter Notebook 
last commit: over 1 year ago 
Linked from   4 awesome lists  
  bayesian-methodsdata-sciencejupyter-notebookmathematical-analysispymcstatistics 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | An MCMC sampler library for Bayesian estimation using Python | 331 | 
|  | A Python library for Bayesian inference and multinomial mixture modeling | 108 | 
|  | A database system that allows querying probabilistic implications of data using Bayesian inference. | 923 | 
|  | A system for querying probable implications of data using Bayesian inference and a custom query language. | 891 | 
|  | A collection of Python packages implementing Bayesian machine learning algorithms with scikit-learn API | 514 | 
|  | Tools and methods for Bayesian deep learning using probabilistic programming. | 328 | 
|  | A Python library providing approximate inference methods for Bayesian Hidden Markov Models and their extensions. | 549 | 
|  | A probabilistic programming framework for Bayesian inference and model comparison using nested sampling and JAX. | 156 | 
|  | A tool for writing probabilistic models and manipulating their computation | 680 | 
|  | A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch | 359 | 
|  | A monadic probabilistic programming framework for Bayesian modelling and inference in C#. | 96 | 
|  | A Bayesian inference library designed to provide modular and customizable samplers for probabilistic programming | 858 | 
|  | A library that enables probabilistic programming in Haskell. | 411 | 
|  | A Python library and command line application for learning Bayesian network structures from observational data. | 104 | 
|  | Software toolbox for Bayesian inference on sequential data using Markov chain Monte Carlo methods. | 79 |