Shinystanshinystan R package and ShinyStan GUI
Stars: ✭ 172 (+186.67%)
StanStan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Stars: ✭ 2,177 (+3528.33%)
Rstanarmrstanarm R package for Bayesian applied regression modeling
Stars: ✭ 285 (+375%)
Rhat essRank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Stars: ✭ 19 (-68.33%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+470%)
Scikit StanA high-level Bayesian analysis API written in Python
Stars: ✭ 22 (-63.33%)
LogDensityProblems.jlA common framework for implementing and using log densities for inference.
Stars: ✭ 26 (-56.67%)
AutopplC++ template library for probabilistic programming
Stars: ✭ 34 (-43.33%)
Dynamichmc.jlImplementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Stars: ✭ 172 (+186.67%)
Bda py demosBayesian Data Analysis demos for Python
Stars: ✭ 781 (+1201.67%)
geostanBayesian spatial analysis
Stars: ✭ 40 (-33.33%)
RstanRStan, the R interface to Stan
Stars: ✭ 760 (+1166.67%)
Bda r demosBayesian Data Analysis demos for R
Stars: ✭ 409 (+581.67%)
Rethinking PyroStatistical Rethinking with PyTorch and Pyro
Stars: ✭ 116 (+93.33%)
DynamicHMCExamples.jlExamples for Bayesian inference using DynamicHMC.jl and related packages.
Stars: ✭ 33 (-45%)
ProjpredProjection predictive variable selection
Stars: ✭ 76 (+26.67%)
PosteriorThe posterior R package
Stars: ✭ 75 (+25%)
Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Stars: ✭ 74 (+23.33%)
Deepbayes 2018Seminars DeepBayes Summer School 2018
Stars: ✭ 1,021 (+1601.67%)
symbolic-pymcTools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
Stars: ✭ 58 (-3.33%)
probai-2019Materials of the Nordic Probabilistic AI School 2019.
Stars: ✭ 127 (+111.67%)
PyroDeep universal probabilistic programming with Python and PyTorch
Stars: ✭ 7,224 (+11940%)
Miscellaneous R CodeCode 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 Now almost entirely superseded by the models-by-example repo.
Stars: ✭ 146 (+143.33%)
BocdBayesian Changepoint Detection
Stars: ✭ 17 (-71.67%)
Ml codeA repository for recording the machine learning code
Stars: ✭ 75 (+25%)
Correlation🔗 Methods for Correlation Analysis
Stars: ✭ 192 (+220%)
Dropout BBalphaImplementations of the ICML 2017 paper (with Yarin Gal)
Stars: ✭ 40 (-33.33%)
MatlabstanMatlab interface to Stan, a package for Bayesian inference
Stars: ✭ 59 (-1.67%)
ModelselectionTutorial on model assessment, model selection and inference after model selection
Stars: ✭ 139 (+131.67%)
Probabilistic ModelsCollection of probabilistic models and inference algorithms
Stars: ✭ 217 (+261.67%)
PecanThe Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Stars: ✭ 132 (+120%)
Sklearn BayesPython package for Bayesian Machine Learning with scikit-learn API
Stars: ✭ 428 (+613.33%)
flowtorch-oldSeparating Normalizing Flows code from Pyro and improving API
Stars: ✭ 36 (-40%)
GempyGemPy 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.
Stars: ✭ 396 (+560%)
HbayesdmHierarchical Bayesian modeling of RLDM tasks, using R & Python
Stars: ✭ 124 (+106.67%)
OrbitA Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Stars: ✭ 346 (+476.67%)
Bayestestr👻 Utilities for analyzing Bayesian models and posterior distributions
Stars: ✭ 346 (+476.67%)
ElfiELFI - Engine for Likelihood-Free Inference
Stars: ✭ 208 (+246.67%)
DeeplearningPython 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
Stars: ✭ 4,020 (+6600%)
Dl Uncertainty"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Stars: ✭ 130 (+116.67%)
PydlmA python library for Bayesian time series modeling
Stars: ✭ 375 (+525%)
Report📜 🎉 Automated reporting of objects in R
Stars: ✭ 348 (+480%)
Statistical RethinkingAn interactive online reading of McElreath's Statistical Rethinking
Stars: ✭ 123 (+105%)
LuminescenceDevelopment of the R package 'Luminescence'
Stars: ✭ 13 (-78.33%)
Gen.jlA general-purpose probabilistic programming system with programmable inference
Stars: ✭ 1,595 (+2558.33%)
Bayesplotbayesplot R package for plotting Bayesian models
Stars: ✭ 276 (+360%)
fastbapsA fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
Stars: ✭ 24 (-60%)
Cornell MoeA Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Stars: ✭ 198 (+230%)
Psycho.rAn R package for experimental psychologists
Stars: ✭ 113 (+88.33%)
BayesianTutorialsImplementing MCMC sampling from scratch in R for various Bayesian models
Stars: ✭ 75 (+25%)
BayesHMMFull Bayesian Inference for Hidden Markov Models
Stars: ✭ 35 (-41.67%)
GpstuffGPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (+76.67%)
blangSDKBlang's software development kit
Stars: ✭ 21 (-65%)