203 Open Source Bayesian Inference Software Projects
Free and open source bayesian inference code projects including engines, APIs, generators, and tools.
Pymc3 5310 ⭐
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Zhusuan 1929 ⭐
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Stan Dev Stan 1927 ⭐
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.
Causalnex 813 ⭐
A Python library that helps data scientists to infer causation rather than observing correlation.
Brms 768 ⭐
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Bayesian Neural Networks 745 ⭐
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Numpyro 753 ⭐
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Pytorch Bayesiancnn 689 ⭐
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Dsge.jl 592 ⭐
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Bayesian Stats Modelling Tutorial 422 ⭐
How to do Bayesian statistical modelling using numpy and PyMC3
Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse 346 ⭐
The bookdown version lives here: https://bookdown.org/content/3890
Pyvarinf 310 ⭐
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Master Thesis Bayesiancnn 213 ⭐
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Wiseodd Mcmc 198 ⭐
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Dynamichmc.jl 155 ⭐
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Survival Analysis Using Deep Learning 130 ⭐
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Aboleth 126 ⭐
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Dsteinberg Libcluster 126 ⭐
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
Mrbayes 115 ⭐
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:
Pymc3_vs_pystan 110 ⭐
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
Vbmc 105 ⭐
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Translationalneuromodeling Tapas 107 ⭐
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Bayesian Cognitive Modeling In Pymc3 93 ⭐
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Pymc Example Project 90 ⭐
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Alice 79 ⭐
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Bayesloop 82 ⭐
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Bijectors.jl 80 ⭐
Implementation of normalising flows and constrained random variable transformations
Bridge.jl 65 ⭐
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Books Making You Better 68 ⭐
A list of classic books make better you understand not only how it works, but why it works.
Autoencoders_keras 59 ⭐
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Nestle 61 ⭐
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
Fbnn 55 ⭐
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Bayesian Basics 48 ⭐
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Variational_dropout 39 ⭐
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch