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Bayesian
119 Open Source Bayesian Software Projects
Free and open source bayesian code projects including engines, APIs, generators, and tools.
Pyro Ppl Pyro
6531 ⭐
Deep universal probabilistic programming with Python and PyTorch
Mingchaozhu Deeplearning
2783 ⭐
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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.
Gen.jl
1463 ⭐
A general-purpose probabilistic programming system with programmable inference
Deepbayes 2018
1000 ⭐
Seminars DeepBayes Summer School 2018
Bda_py_demos
736 ⭐
Bayesian Data Analysis demos for Python
Bayesian Analysis Recipes
438 ⭐
A collection of Bayesian data analysis recipes using PyMC3
Sklearn Bayes
412 ⭐
Python package for Bayesian Machine Learning with scikit-learn API
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
Bayadera
334 ⭐
High-performance Bayesian Data Analysis on the GPU in Clojure
Pydlm
333 ⭐
A python library for Bayesian time series modeling
Gempy
327 ⭐
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.
Bayestestr
279 ⭐
:ghost: Utilities for analyzing Bayesian models and posterior distributions
Rstanarm
262 ⭐
rstanarm R package for Bayesian applied regression modeling
Easystats Report
265 ⭐
:scroll: :tada: Automated reporting of objects in R
Bayesplot
236 ⭐
bayesplot R package for plotting Bayesian models
Probabilistic Models
207 ⭐
Collection of probabilistic models and inference algorithms
Elfi Dev Elfi
197 ⭐
ELFI - Engine for Likelihood-Free Inference
Pygpgo
182 ⭐
Bayesian optimization for Python
Cornell Moe
180 ⭐
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Shinystan
167 ⭐
shinystan R package and ShinyStan GUI
Naive Bayes Classifier
159 ⭐
yet another general purpose naive bayesian classifier.
Dynamichmc.jl
155 ⭐
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Miscellaneous R Code
135 ⭐
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.
Modelselection
136 ⭐
Tutorial on model assessment, model selection and inference after model selection
Statistical Rethinking
122 ⭐
An interactive online reading of McElreath's Statistical Rethinking
Pecanproject Pecan
120 ⭐
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Correlation
121 ⭐
:link: Methods for Correlation Analysis
Hbayesdm
112 ⭐
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Dl Uncertainty
108 ⭐
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Psycho.r
103 ⭐
An R package for experimental psychologists
Bayesiandeeplearning Survey
125 ⭐
Bayesian Deep Learning: A Survey
Gpstuff
98 ⭐
GPstuff - Gaussian process models for Bayesian analysis
Bayesian Deep Learning Demystified
101 ⭐
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
Probai 2019
93 ⭐
Materials of the Nordic Probabilistic AI School 2019.
Bayesiantracker
92 ⭐
Bayesian multi-object tracking
Lda Topic Modeling
85 ⭐
A PureScript, browser-based implementation of LDA topic modeling.
Catavallejos Basics
72 ⭐
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
Ml_code
72 ⭐
A repository for recording the machine learning code
Quicknat_pytorch
67 ⭐
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Bayesiantutorials
64 ⭐
Implementing MCMC sampling from scratch in R for various Bayesian models
Bayesian Stats Talk
62 ⭐
Doing Bayesian statistics in Python!
Projpred
63 ⭐
Projection predictive variable selection
Posterior
63 ⭐
The posterior R package
Matlabstan
58 ⭐
Matlab interface to Stan, a package for Bayesian inference
Honeybadger
58 ⭐
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
Stan Mode
55 ⭐
Emacs mode for Stan.
Bayesian Basics
48 ⭐
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Bdapy
46 ⭐
Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
Mtfit
43 ⭐
MTfit code for Bayesian Moment Tensor Fitting
Dropout_bbalpha
41 ⭐
Implementations of the ICML 2017 paper (with Yarin Gal)
Bda_m_demos
42 ⭐
Bayesian Data Analysis demos for Matlab/Octave
Statistical Rethinking Solutions
46 ⭐
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Symbolic Pymc
41 ⭐
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
Geobipy
40 ⭐
Geophysical Bayesian Inference in Python. Docs:
Bayesian Neural Network Pytorch
44 ⭐
Bayesian Neural Network For Pytorch
Bhmm
38 ⭐
Bayesian hidden Markov models toolkit
Binary.com Interview Question
35 ⭐
The sample question for Interview a job in Binary options
Bayesalpha
36 ⭐
Bayesian models to compute performance and uncertainty of returns and alpha.
Bayeslearncourse
34 ⭐
Bayesian Statistics I at Stockholm University
Tensorflow Autoencoders
29 ⭐
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Dirichletprocess
30 ⭐
Build dirichletprocess objects for data analysis
Cmdstanr
31 ⭐
CmdStanR: the R interface to CmdStan
Idealstan
29 ⭐
idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
Dynamichmcexamples.jl
28 ⭐
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Mlexp
27 ⭐
Bas
27 ⭐
BAS R package
Bayeshmm
28 ⭐
Full Bayesian Inference for Hidden Markov Models
Walker
27 ⭐
Bayesian Generalized Linear Models with Time-Varying Coefficients
Neonrvm
25 ⭐
An open source machine learning library for performing regression tasks using RVM technique.
Scikit Stan
22 ⭐
A high-level Bayesian analysis API written in Python
Naive Apl
21 ⭐
Naive Bayesian Classifier written in APL
Cmblensing.jl
21 ⭐
Next-generation tools for analyzing the lensed Cosmic Microwave Background
Gauss Naive Bayes
20 ⭐
Gauss Naive Bayes in Python From Scratch.
Multibugs
20 ⭐
Multi-core BUGS for fast Bayesian inference of large hierarchical models
Treecat
19 ⭐
A Bayesian latent tree model of high-dimensional heterogeneous data
Ai Cheat Sheet
19 ⭐
cheat sheet for Artificial Intelligence
Bayesicfitting
18 ⭐
Bayesian fitting package
Rhat_ess
19 ⭐
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Disease Detection
20 ⭐
Mcmcdiagnostics.jl
18 ⭐
Markov Chain Monte Carlo convergence diagnostics in Julia
Hyperspace
17 ⭐
Distributed Bayesian Optimization
Go Topics
17 ⭐
Latent Dirichlet Allocation
Logdensityproblems.jl
17 ⭐
A common framework for implementing and using log densities for inference.
Phyr
17 ⭐
Functions for phylogenetic analyses
Fastbaps
15 ⭐
A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
SVGd
14 ⭐
PyTorch implementation of Stein Variational Gradient Descent
Beast Fitting Beast
14 ⭐
Bayesian Extinction And Stellar Tool
Spatialreg
14 ⭐
spatialreg: spatial models estimation and testing
Classify Dos
14 ⭐
利用贝叶斯算法设计实现文档分类系统
Bnp
13 ⭐
Bayesian nonparametric models for python
Thomas
13 ⭐
Another A/B test library
Bocd
15 ⭐
Bayesian Changepoint Detection
Bgwas
16 ⭐
R package to perform Bayesian Genome-Wide Association Studies
Paican
13 ⭐
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
19 Questions
13 ⭐
A machine learning / bayesian inference engine assigning attributes to objects
Biguq.jl
12 ⭐
Bayesian Information Gap Decision Theory
Cahya Wirawan Text Classification
12 ⭐
Text Classification engine using several algorithms in machine learning
Bayesian_unet
14 ⭐
Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)