Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

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C++r bayesian-inference bayesian bayesian-statistics stan bayesian-methods bayesian-data-analysis

Dynamichmc.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

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julia bayesian-inference bayesian bayesian-statistics bayesian-methods

Shinystan

shinystan R package and ShinyStan GUI

✭ 172

r r-package bayesian-inference bayesian mcmc bayesian-statistics stan bayesian-methods bayesian-data-analysis

Naive Bayes Classifier

yet another general purpose naive bayesian classifier.

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python machine-learning bayesian classifier

Miscellaneous R Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

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python r matlab julia zip bayesian gaussian-processes stan pca

Modelselection

Tutorial on model assessment, model selection and inference after model selection

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html bayesian stan

Pecan

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

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r data-science bayesian forecasting

Dl Uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

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python deep-learning computer-vision bayesian

Hbayesdm

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

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python reinforcement-learning modeling bayesian

Statistical Rethinking

An interactive online reading of McElreath's Statistical Rethinking

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statistics course bayesian

Bayesiantracker

Bayesian multi-object tracking

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optimization bayesian kalman-filter

Gen.jl

A general-purpose probabilistic programming system with programmable inference

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julia deep-learning machine-learning computer-vision robotics bayesian julia-language gen differentiable-programming

Psycho.r

An R package for experimental psychologists

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r statistics neuroscience bayesian format psychology

Gpstuff

GPstuff - Gaussian process models for Bayesian analysis

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matlab classification regression bayesian-inference bayesian gaussian-processes mcmc variational-inference spatial-analysis bayesian-optimization octave

Lda Topic Modeling

A PureScript, browser-based implementation of LDA topic modeling.

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purescript machine-learning nlp data-science natural-language-processing functional-programming reactive clustering machine-learning-algorithms reactive-programming nlp-machine-learning text-mining bulma bayesian topic-modeling lda

Ml code

A repository for recording the machine learning code

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python deep-learning machine-learning tensorflow nlp keras neural-network artificial-intelligence scikit-learn clustering mnist cv sklearn logistic-regression bayesian pca svd

Projpred

Projection predictive variable selection

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r statistics r-package bayesian-inference bayesian stan

Posterior

The posterior R package

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r r-package bayesian mcmc

Quicknat pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

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python deep-learning machine-learning pytorch computer-vision ai convolutional-neural-networks segmentation medical-imaging bayesian

Matlabstan

Matlab interface to Stan, a package for Bayesian inference

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matlab statistics bayesian stan

Deepbayes 2018

Seminars DeepBayes Summer School 2018

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jupyter-notebook deep-learning bayesian variational-inference

Autoppl

C++ template library for probabilistic programming

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cpp17 bayesian-inference bayesian automatic-differentiation bayesian-statistics

Pyro

Deep universal probabilistic programming with Python and PyTorch

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python C++Makefile shell TeX Dockerfile machine-learning pytorch bayesian-inference bayesian variational-inference deep-learning probabilistic-modeling

Scikit Stan

A high-level Bayesian analysis API written in Python

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python bayesian-inference bayesian time-series-analysis bayesian-statistics

Gauss Naive Bayes

Gauss Naive Bayes in Python From Scratch.

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python bayesian

Rhat ess

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

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html bayesian-inference bayesian bayesian-statistics bayesian-methods bayesian-data-analysis

Bocd

Bayesian Changepoint Detection

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python jupyter-notebook bayesian

Bda py demos

Bayesian Data Analysis demos for Python

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python jupyter-notebook bayesian-inference bayesian mcmc stan bayesian-data-analysis

Bayesian Stats Modelling Tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

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jupyter-notebook bayesian-inference bayesian bayesian-statistics bayesian-data-analysis

Bayesian Analysis Recipes

A collection of Bayesian data analysis recipes using PyMC3

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jupyter-notebook neural-networks notebook bayesian-inference bayesian bayesian-statistics bayesian-methods bayesian-data-analysis

Sklearn Bayes

Python package for Bayesian Machine Learning with scikit-learn API

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python jupyter-notebook machine-learning scikit-learn bayesian

Bda r demos

Bayesian Data Analysis demos for R

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r bayesian-inference bayesian mcmc stan bayesian-data-analysis

Gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

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python theano modeling bayesian interpolation geoscience

Pydlm

A python library for Bayesian time series modeling

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python statistics time-series model timeseries bayesian

Orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

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python bayesian forecasting stan

Report

📜 🎉 Automated reporting of objects in R