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The Top 372 Bayesian Open Source Projects on Github

Categories > Machine Learning > Bayesian
Pyro ⭐ 7,216
Deep universal probabilistic programming with Python and PyTorch
Deeplearning ⭐ 2,347
Python for《Deep Learning》īŧŒč¯ĨäšĻä¸ēã€ŠæˇąåēĻå­Ļ䚠》(花äšĻ) 数å­Ļ推å¯ŧ、原į†å‰–析与æēį įē§åˆĢäģŖį åŽžįŽ°
Stan ⭐ 2,168
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 ⭐ 1,589
A general-purpose probabilistic programming system with programmable inference
Arviz ⭐ 1,118
Exploratory analysis of Bayesian models with Python
Deepbayes 2018 ⭐ 983
Seminars DeepBayes Summer School 2018
Bda_py_demos ⭐ 831
Bayesian Data Analysis demos for Python
Orbit ⭐ 823
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Gempy ⭐ 549
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.
Bayesian Stats Modelling Tutorial ⭐ 543
How to do Bayesian statistical modelling using numpy and PyMC3
Bayesian Analysis Recipes ⭐ 495
A collection of Bayesian data analysis recipes using PyMC3
Report ⭐ 456
📜 🎉 Automated reporting of objects in R
Bda_r_demos ⭐ 445
Bayesian Data Analysis demos for R
Sklearn Bayes ⭐ 439
Python package for Bayesian Machine Learning with scikit-learn API
Bayestestr ⭐ 428
đŸ‘ģ Utilities for analyzing Bayesian models and posterior distributions
Pydlm ⭐ 400
A python library for Bayesian time series modeling
Bayadera ⭐ 333
High-performance Bayesian Data Analysis on the GPU in Clojure
Bayesplot ⭐ 318
bayesplot R package for plotting Bayesian models
Bayesiandeeplearning Survey ⭐ 300
Bayesian Deep Learning: A Survey
Rstanarm ⭐ 296
rstanarm R package for Bayesian applied regression modeling
Correlation ⭐ 288
🔗 Methods for Correlation Analysis
Elfi ⭐ 218
ELFI - Engine for Likelihood-Free Inference
Pygpgo ⭐ 201
Bayesian optimization for Python
Probabilistic Models ⭐ 196
Collection of probabilistic models and inference algorithms
Dynamichmc.jl ⭐ 187
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Shinystan ⭐ 172
shinystan R package and ShinyStan GUI
Cornell Moe ⭐ 165
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Bayesiantracker ⭐ 159
Bayesian multi-object tracking
Naive Bayes Classifier ⭐ 157
yet another general purpose naive bayesian classifier.
Modelselection ⭐ 151
Tutorial on model assessment, model selection and inference after model selection
Pecan ⭐ 150
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Hbayesdm ⭐ 145
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Miscellaneous R Code ⭐ 140
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.
Bayesian Neural Network Pytorch ⭐ 121
PyTorch implementation of bayesian neural network.
Gpstuff ⭐ 120
GPstuff - Gaussian process models for Bayesian analysis
Statrethink_course_in_pymc3 ⭐ 119
Statistical Rethinking course in pymc3
Statistical Rethinking ⭐ 114
An interactive online reading of McElreath's Statistical Rethinking
Psycho.r ⭐ 110
An R package for experimental psychologists
Probflow ⭐ 108
A Python package for building Bayesian models with TensorFlow or PyTorch
Bayeslearncourse ⭐ 106
Bayesian Statistics I at Stockholm University
Posterior ⭐ 93
The posterior R package
Probai 2019 ⭐ 89
Materials of the Nordic Probabilistic AI School 2019.
Projpred ⭐ 87
Projection predictive variable selection
Bayesian Deep Learning Demystified ⭐ 86
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
Dl Uncertainty ⭐ 80
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Lda Topic Modeling ⭐ 78
A PureScript, browser-based implementation of LDA topic modeling.
Quicknat_pytorch ⭐ 75
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Basics ⭐ 74
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
Honeybadger ⭐ 74
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
Cmdstanr ⭐ 69
CmdStanR: the R interface to CmdStan
Probai 2021 ⭐ 69
Materials of the Nordic Probabilistic AI School 2021.
Pymc3 Hmm ⭐ 68
Hidden Markov models in PyMC3
Ml_code ⭐ 66
A repository for recording the machine learning code
Stan Mode ⭐ 60
Emacs mode for Stan.
Bayesian Stats Talk ⭐ 59
Doing Bayesian statistics in Python!
Bayesiantutorials ⭐ 57
Implementing MCMC sampling from scratch in R for various Bayesian models
Matlabstan ⭐ 54
Matlab interface to Stan, a package for Bayesian inference
Mtfit ⭐ 53
MTfit code for Bayesian Moment Tensor Fitting
Geobipy ⭐ 52
Geophysical Bayesian Inference in Python. Docs:
Elo Mmr ⭐ 49
Skill estimation systems for multiplayer competitions
Binary.com Interview Question ⭐ 48
The sample question for Interview a job in Binary options
Baysor ⭐ 47
Bayesian Segmentation of Spatial Transcriptomics Data
Bayesian Basics ⭐ 46
đŸšĢ ↩ī¸ A document that introduces Bayesian data analysis.
Bdapy ⭐ 45
Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
Awesome Agi Cocosci ⭐ 42
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
Bda_m_demos ⭐ 42
Bayesian Data Analysis demos for Matlab/Octave
Dropout_bbalpha ⭐ 41
Implementations of the ICML 2017 paper (with Yarin Gal)
Symbolic Pymc ⭐ 40
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
Cmblensing.jl ⭐ 39
Next-generation tools for analyzing the lensed Cosmic Microwave Background
Bhmm ⭐ 37
Bayesian hidden Markov models toolkit
Dirichletprocess ⭐ 37
Build dirichletprocess objects for data analysis
Walker ⭐ 33
Bayesian Generalized Linear Models with Time-Varying Coefficients
Bas ⭐ 32
BAS R package https://merliseclyde.github.io/BAS/
Bayesmodels ⭐ 32
The Tidymodels Extension for Bayesian Models
Idealstan ⭐ 31
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).
Stantargets ⭐ 29
Reproducible Bayesian data analysis pipelines with targets and cmdstanr
Dynamichmcexamples.jl ⭐ 28
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Bayesicfitting ⭐ 28
Bayesian fitting package
Spatialreg ⭐ 28
spatialreg: spatial models estimation and testing
Tensorflow Autoencoders ⭐ 27
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Statistical Rethinking Solutions ⭐ 26
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Bayeshmm ⭐ 26
Full Bayesian Inference for Hidden Markov Models
Mlexp ⭐ 26
Geostan ⭐ 26
Bayesian Spatial Analysis
Neonrvm ⭐ 25
An open source machine learning library for performing regression tasks using RVM technique.
Bvar ⭐ 25
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
Scikit Stan ⭐ 22
A high-level Bayesian analysis API written in Python
Rhat_ess ⭐ 22
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Naive Apl ⭐ 21
Naive Bayesian Classifier written in APL
Fastbaps ⭐ 21
A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
Phyr ⭐ 21
Functions for phylogenetic analyses
Whichx ⭐ 21
A small, no dependencies, Naive Bayes Text Classifier for JavaScript
Posteriorplots.jl ⭐ 20
Graphical tools for Bayesian inference and posterior predictive checks.
Hyperspace ⭐ 20
Distributed Bayesian Optimization
Multibugs ⭐ 20
Multi-core BUGS for fast Bayesian inference of large hierarchical models
Bayesian ⭐ 20
Bindings for Bayesian TidyModels
Sequential Line Search ⭐ 20
A Preferential Bayesian optimization library for C++/Python [SIGGRAPH 2017]
Ai Cheat Sheet ⭐ 19
cheat sheet for Artificial Intelligence
Gauss Naive Bayes ⭐ 19
Gauss Naive Bayes in Python From Scratch.
Models By Example ⭐ 19
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
1-100 of 372 projects

Related Projects

Python Bayesian Projects (105)
R Bayesian Projects (100)
Jupyter Notebook Bayesian Projects (64)
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Bayesian Mcmc Projects (54)
Statistics Bayesian Projects (44)
Bayesian Stan Projects (41)
Advertising đŸ“Ļ 9
All Projects
Application Programming Interfaces đŸ“Ļ 120
Applications đŸ“Ļ 181
Artificial Intelligence đŸ“Ļ 72
Blockchain đŸ“Ļ 70
Build Tools đŸ“Ļ 111
Cloud Computing đŸ“Ļ 79
Code Quality đŸ“Ļ 28
Collaboration đŸ“Ļ 30
Command Line Interface đŸ“Ļ 48
Community đŸ“Ļ 81
Companies đŸ“Ļ 60
Compilers đŸ“Ļ 60
Computer Science đŸ“Ļ 74
Configuration Management đŸ“Ļ 39
Content Management đŸ“Ļ 167
Control Flow đŸ“Ļ 197
Data Formats đŸ“Ļ 77
Data Processing đŸ“Ļ 266
Data Storage đŸ“Ļ 132
Economics đŸ“Ļ 60
Frameworks đŸ“Ļ 198
Games đŸ“Ļ 122
Graphics đŸ“Ļ 103
Hardware đŸ“Ļ 148
Integrated Development Environments đŸ“Ļ 47
Learning Resources đŸ“Ļ 147
Legal đŸ“Ļ 28
Libraries đŸ“Ļ 119
Lists Of Projects đŸ“Ļ 21
Machine Learning đŸ“Ļ 336
Mapping đŸ“Ļ 61
Marketing đŸ“Ļ 15
Mathematics đŸ“Ļ 55
Media đŸ“Ļ 228
Messaging đŸ“Ļ 97
Networking đŸ“Ļ 304
Operating Systems đŸ“Ļ 84
Operations đŸ“Ļ 120
Package Managers đŸ“Ļ 52
Programming Languages đŸ“Ļ 229
Runtime Environments đŸ“Ļ 96
Science đŸ“Ļ 42
Security đŸ“Ļ 375
Social Media đŸ“Ļ 26
Software Architecture đŸ“Ļ 70
Software Development đŸ“Ļ 68
Software Performance đŸ“Ļ 57
Software Quality đŸ“Ļ 127
Text Editors đŸ“Ļ 45
Text Processing đŸ“Ļ 131
User Interface đŸ“Ļ 310
User Interface Components đŸ“Ļ 465
Version Control đŸ“Ļ 29
Virtualization đŸ“Ļ 68
Web Browsers đŸ“Ļ 38
Web Servers đŸ“Ļ 25
Web User Interface đŸ“Ļ 194
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