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: about 2 years agoLinked from 4 awesome lists
bayesian-methodsdata-sciencejupyter-notebookmathematical-analysispymcstatistics
josephmisiti/awesome-machine-learning
jtoy/awesome-tensorflow
44bits/awesome-opensource-documents
torchhound/warrenRelated projects:
| Repository | Description | Stars |
|---|---|---|
 mcleonard/sampyl | An MCMC sampler library for Bayesian estimation using Python | 331 |
 maxsklar/bayespy | A Python library for Bayesian inference and multinomial mixture modeling | 108 |
 probcomp/bayeslite | A database system that allows querying probabilistic implications of data using Bayesian inference. | 923 |
| probcomp/bayesdb | A system for querying probable implications of data using Bayesian inference and a custom query language. | 891 |
 amazaspshumik/sklearn-bayes | A collection of Python packages implementing Bayesian machine learning algorithms with scikit-learn API | 514 |
 rlouf/mcx | Tools and methods for Bayesian deep learning using probabilistic programming. | 328 |
 mattjj/pyhsmm | A Python library providing approximate inference methods for Bayesian Hidden Markov Models and their extensions. | 549 |
 joshuaalbert/jaxns | A probabilistic programming framework for Bayesian inference and model comparison using nested sampling and JAX. | 156 |
 google/edward2 | A tool for writing probabilistic models and manipulating their computation | 680 |
 ctallec/pyvarinf | A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch | 359 |
 joashc/csharp-probability-monad | A monadic probabilistic programming framework for Bayesian modelling and inference in C#. | 96 |
 blackjax-devs/blackjax | A Bayesian inference library designed to provide modular and customizable samplers for probabilistic programming | 858 |
 tweag/monad-bayes | A library that enables probabilistic programming in Haskell. | 411 |
 abhik/pebl | A Python library and command line application for learning Bayesian network structures from observational data. | 104 |
 michaelchughes/npbayeshmm | Software toolbox for Bayesian inference on sequential data using Markov chain Monte Carlo methods. | 79 |