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.

✭ 172

julia bayesian-inference bayesian bayesian-statistics bayesian-methods

Shinystan

shinystan R package and ShinyStan GUI

✭ 172

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Zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

✭ 2,093

python deep-learning bayesian-inference graphical-models generative-models

Sbi

Simulation-based inference in PyTorch

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jupyter-notebook pytorch bayesian-inference

Beast2

Bayesian Evolutionary Analysis by Sampling Trees

✭ 156

java bayesian-inference mcmc evolution

Rethinking Tensorflow Probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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jupyter-notebook tensorflow tutorials bayesian-inference bayesian-statistics variational-inference

Statsexpressions

Expressions and dataframes with statistical details 📉 📜🔣✅

✭ 144

r bayesian-inference bayesian-statistics robust

Celeste.jl

Scalable inference for a generative model of astronomical images

✭ 142

jupyter-notebook bayesian-inference astronomy variational-inference

Survival Analysis Using Deep Learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

✭ 139

deep-learning machine-learning time-series bayesian-inference gaussian-processes healthcare

Particles

Sequential Monte Carlo in python

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python bayesian-inference kalman-filter

Mrbayes

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

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c bioinformatics bayesian-inference

Glmm In Python

Generalized linear mixed-effect model in Python

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jupyter-notebook statistics bayesian-inference

Libcluster

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

✭ 129

clustering bayesian-inference

Aboleth

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

✭ 127

python deep-learning tensorflow deep-neural-networks bayesian-inference gaussian-processes

Vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

✭ 123

matlab machine-learning data-analysis bayesian-inference gaussian-processes variational-inference

Exoplanet

Fast & scalable MCMC for all your exoplanet needs!

✭ 122

python time-series bayesian-inference astronomy gaussian-processes mcmc time-series-analysis

Tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

✭ 121

matlab bayesian-inference neuroscience eeg

Rethinking Pyro

Statistical Rethinking with PyTorch and Pyro

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

Bcpd

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

✭ 116

c unsupervised-learning point-cloud bayesian-inference gaussian-processes bayesian-statistics variational-inference matching

A Nice Mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

✭ 115

jupyter-notebook tensorflow neural-networks generative-adversarial-network bayesian-inference tensorflow-experiments

Bopp

BOPP: Bayesian Optimization for Probabilistic Programs

✭ 112

clojure bayesian-inference bayesian-optimization

Pymc3 vs pystan

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

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jupyter-notebook bayesian-inference bayesian-methods

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

Neural Tangents

Fast and Easy Infinite Neural Networks in Python

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jupyter-notebook neural-networks kernel bayesian-inference gaussian-processes gradient-descent

Rankpl

A qualitative probabilistic programming language based on ranking theory

✭ 99

java bayesian-inference

Bayesian cnn

Bayes by Backprop implemented in a CNN in PyTorch

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python pytorch convolutional-neural-networks bayesian-inference

Dynare

This project has moved to https://git.dynare.org/Dynare/dynare

✭ 96

matlab simulation bayesian-inference

Infer

Infer.NET is a framework for running Bayesian inference in graphical models

✭ 1,340

machine-learning bayesian-inference

Nimble

The base NIMBLE package for R

✭ 95

r bayesian-inference mcmc bayesian-methods

Mxfusion

Modular Probabilistic Programming on MXNet

✭ 95

python machine-learning mxnet bayesian-inference variational-inference

Probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

✭ 95

python machine-learning tensorflow data-science statistics bayesian-inference bayesian-statistics bayesian-methods

Bayesian Cognitive Modeling In Pymc3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

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

Pymc Example Project

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

✭ 90

python jupyter-notebook machine-learning data-science numpy pandas scikit-learn bayesian-inference bayesian-data-analysis

Paramonte

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

✭ 88

python c cpp matlab fortran machine-learning machine-learning-algorithms bayesian-inference mpi mcmc bayesian-statistics machine-learning-library

Bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

✭ 87

python bayesian-inference anomaly-detection time-series-analysis

Pumas.jl

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

✭ 84

julia machine-learning neural-networks statistics simulation bayesian-inference

Bat.jl

A Bayesian Analysis Toolkit in Julia

✭ 82

julia machine-learning statistics bayesian-inference mcmc bayesian-statistics

Alice

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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Projpred

Projection predictive variable selection