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Bayesian Inference
203 Open Source Bayesian Inference Software Projects
Free and open source bayesian inference code projects including engines, APIs, generators, and tools.
Numpy Ml
8977 ⭐
Machine learning, in numpy
Pyro Ppl Pyro
6531 ⭐
Deep universal probabilistic programming with Python and PyTorch
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.
Dotnet Infer
1276 ⭐
Infer.NET is a framework for running Bayesian inference in graphical models
Neural Tangents
1154 ⭐
Fast and Easy Infinite Neural Networks in Python
Turing.jl
1025 ⭐
Bayesian inference with probabilistic programming.
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
Pymc Devs Resources
779 ⭐
PyMC3 educational resources
Brylevkirill Notes
732 ⭐
Resources to learn more about Machine Learning and Artificial Intelligence
Bda_py_demos
736 ⭐
Bayesian Data Analysis demos for Python
Rstan
724 ⭐
RStan, the R interface to 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.
Probabilistic_robotics
640 ⭐
solution of exercises of the book "probabilistic robotics"
Dsge.jl
592 ⭐
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Dbda Python
461 ⭐
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Bayesian Analysis Recipes
438 ⭐
A collection of Bayesian data analysis recipes using PyMC3
Bayesian Stats Modelling Tutorial
422 ⭐
How to do Bayesian statistical modelling using numpy and PyMC3
Bda_r_demos
386 ⭐
Bayesian Data Analysis demos for R
Vae_cf
358 ⭐
Variational autoencoders for collaborative filtering
Statistical_rethinking_with_brms_ggplot2_and_the_tidyverse
346 ⭐
The bookdown version lives here: https://bookdown.org/content/3890
Bayadera
334 ⭐
High-performance Bayesian Data Analysis on the GPU in Clojure
Pyvarinf
310 ⭐
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Rstanarm
262 ⭐
rstanarm R package for Bayesian applied regression modeling
Master Thesis Bayesiancnn
213 ⭐
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Probabilistic Models
207 ⭐
Collection of probabilistic models and inference algorithms
Bayesianrecurrentnn
199 ⭐
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Stheno.jl
209 ⭐
Probabilistic Programming with Gaussian processes in Julia
Elfi Dev Elfi
197 ⭐
ELFI - Engine for Likelihood-Free Inference
Dynesty
194 ⭐
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Wiseodd Mcmc
198 ⭐
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Soss.jl
185 ⭐
Probabilistic programming via source rewriting
Shinystan
167 ⭐
shinystan R package and ShinyStan GUI
Dynamichmc.jl
155 ⭐
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Beast2
145 ⭐
Bayesian Evolutionary Analysis by Sampling Trees
Celeste.jl
134 ⭐
Scalable inference for a generative model of astronomical images
Rethinking Tensorflow Probability
135 ⭐
Statistical Rethinking (2nd Ed) with Tensorflow Probability
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.
Glmm In Python
123 ⭐
Generalized linear mixed-effect model in Python
Bopp
113 ⭐
BOPP: Bayesian Optimization for Probabilistic Programs
A Nice Mc
112 ⭐
Code for "A-NICE-MC: Adversarial Training for MCMC"
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
Sbi
118 ⭐
Simulation-based inference in PyTorch
Exoplanet
112 ⭐
Fast & scalable MCMC for all your exoplanet needs!
Rethinking Pyro
106 ⭐
Statistical Rethinking with PyTorch and Pyro
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
Bcpd
102 ⭐
Bayesian coherent point drift for Windows 10
Rankpl
98 ⭐
A qualitative probabilistic programming language based on ranking theory
Mxfusion
97 ⭐
Modular Probabilistic Programming on MXNet
Gpstuff
98 ⭐
GPstuff - Gaussian process models for Bayesian analysis
Bayesian_bootstrap
96 ⭐
bayesian bootstrapping in python
Bayesian Cognitive Modeling In Pymc3
93 ⭐
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Dynare
93 ⭐
This project has moved to https://git.dynare.org/Dynare/dynare
Pymc Example Project
90 ⭐
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Nimble Dev Nimble
90 ⭐
The base NIMBLE package for R
Gelato
84 ⭐
Bayesian dessert for Lasagne
Alice
79 ⭐
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Particles
90 ⭐
Sequential Monte Carlo in python
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
Joseph94m Mcmc
77 ⭐
Implementation of Markov Chain Monte Carlo in Python from scratch
Beat
71 ⭐
Bayesian Earthquake Analysis Tool
2prime Paper Reading
67 ⭐
Paper Reading
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.
Aorun
61 ⭐
Deep Learning over PyTorch
Autoencoders_keras
59 ⭐
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Bayesian Stats Talk
62 ⭐
Doing Bayesian statistics in Python!
Nestle
61 ⭐
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
Delfi
60 ⭐
Density estimation likelihood-free inference
Projpred
63 ⭐
Projection predictive variable selection
Bayestyper
63 ⭐
A method for variant graph genotyping based on exact alignment of k-mers
Probflow
68 ⭐
A Python package for building Bayesian models with TensorFlow or PyTorch
Noisynaturalgradient
55 ⭐
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"
Fbnn
55 ⭐
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Ncp
55 ⭐
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Bat.jl
59 ⭐
A Bayesian Analysis Toolkit in Julia
Revrand
52 ⭐
A library of scalable Bayesian generalised linear models with fancy features
Dnest4
48 ⭐
Diffusive Nested Sampling
Pybgmm
49 ⭐
Bayesian inference for Gaussian mixture model with some novel algorithms
Parbayesianoptimization
53 ⭐
Parallelizable Bayesian Optimization in R
Bayesian Basics
48 ⭐
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Statsr
46 ⭐
Companion package for the Coursera Statistics with R specialization
Stan Ja
45 ⭐
Stanマニュアルの日本語への翻訳プロジェクト
Pylda
45 ⭐
A Latent Dirichlet Allocation implementation in Python.
Webmc3
44 ⭐
A web interface for exploring PyMC3 traces
Polychordlite
43 ⭐
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Lawmurray Birch
51 ⭐
The Birch probabilistic programming language.
Bda_m_demos
42 ⭐
Bayesian Data Analysis demos for Matlab/Octave
Variational_dropout
39 ⭐
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
Bnn
39 ⭐
Bayesian Neural Network in PyTorch
Geobipy
40 ⭐
Geophysical Bayesian Inference in Python. Docs: