119 Open Source Bayesian Software Projects
Free and open source bayesian code projects including engines, APIs, generators, and tools.
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.
Bayesian Stats Modelling Tutorial 422 ⭐
How to do Bayesian statistical modelling using numpy and PyMC3
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.
Cornell Moe 180 ⭐
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
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
Pecanproject Pecan 120 ⭐
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Dl Uncertainty 108 ⭐
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Bayesian Deep Learning Demystified 101 ⭐
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
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
Quicknat_pytorch 67 ⭐
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Honeybadger 58 ⭐
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
Bayesian Basics 48 ⭐
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
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.
Tensorflow Autoencoders 29 ⭐
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
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.
Neonrvm 25 ⭐
An open source machine learning library for performing regression tasks using RVM technique.
Rhat_ess 19 ⭐
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Logdensityproblems.jl 17 ⭐
A common framework for implementing and using log densities for inference.
Fastbaps 15 ⭐
A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
Paican 13 ⭐
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
Cahya Wirawan Text Classification 12 ⭐
Text Classification engine using several algorithms in machine learning
Kerneldensityestimate.jl 12 ⭐
Kernel Density Estimate with product approximation using multiscale Gibbs sampling
Predmarket 11 ⭐
Agent-based computational simulation framework for analyzing trading behavior in climate prediction markets
Myoddweb.classifier 10 ⭐
Microsoft Outlook automatic Spam Classifier, Classify emails as they arrive and move them to your own folders. Works on Office 356, Outlook 2016,2013 and 2010
Bvar 11 ⭐
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.
Crpclustering 10 ⭐
CRPClustering: An R Package for Bayesian Nonparametric Chinese Restaurant Process Clustering with Entropy