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An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with bayesian
A curated list of projects in awesome lists tagged with bayesian .
https://github.com/pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
bayesian bayesian-inference deep-learning machine-learning probabilistic-modeling probabilistic-programming python pytorch variational-inference
Last synced: 29 Sep 2024
https://github.com/mingchaozhu/deeplearning
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
bayesian deep-learning ensemble-learning machine-learning python regularization xgboost
Last synced: 26 Sep 2024
https://github.com/MingchaoZhu/DeepLearning
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
bayesian deep-learning ensemble-learning machine-learning python regularization xgboost
Last synced: 01 Aug 2024
https://github.com/stan-dev/stan
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 bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics stan
Last synced: 30 Sep 2024
https://github.com/avehtari/bda_course_aalto
Bayesian Data Analysis course at Aalto
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow
Last synced: 01 Oct 2024
https://github.com/uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series
Last synced: 27 Sep 2024
https://github.com/probcomp/gen.jl
A general-purpose probabilistic programming system with programmable inference
bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics
Last synced: 30 Sep 2024
https://github.com/probcomp/Gen.jl
A general-purpose probabilistic programming system with programmable inference
bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics
Last synced: 31 Jul 2024
https://github.com/arviz-devs/arviz
Exploratory analysis of Bayesian models with Python
Last synced: 01 Oct 2024
https://arviz-devs.github.io/arviz/
Exploratory analysis of Bayesian models with Python
Last synced: 02 Aug 2024
https://github.com/bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
bayesian deep-learning variational-inference
Last synced: 30 Sep 2024
https://github.com/avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
bayesian bayesian-data-analysis bayesian-inference mcmc python stan
Last synced: 07 Aug 2024
https://github.com/gempy-project/gempy
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 address parameter and model uncertainties.
bayesian complex-geological-models geological geology geoscience implicit interpolation modeling monte-carlo-simulation python torch uncertainties uncertainty-analysis uq
Last synced: 30 Jul 2024
https://github.com/google/lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
bayesian data-science econometrics marketing-science mmm
Last synced: 02 Aug 2024
https://easystats.github.io/report/
:scroll: :tada: Automated reporting of objects in R
anovas apa automated-report-generation automatic bayesian describe easystats hacktoberfest manuscript models r r-package report reporting reports rstats scientific statsmodels
Last synced: 31 Jul 2024
https://github.com/easystats/report
:scroll: :tada: Automated reporting of objects in R
anovas apa automated-report-generation automatic bayesian describe easystats hacktoberfest manuscript models r r-package report reporting reports rstats scientific statsmodels
Last synced: 02 Oct 2024
https://github.com/avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan
Last synced: 30 Jul 2024
https://github.com/easystats/bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
bayes-factors bayesfactor bayesian bayesian-framework credible-interval easystats hacktoberfest hdi map posterior-distributions r rope rstats
Last synced: 13 Aug 2024
https://github.com/AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
bayesian bayesian-machine-learning machine-learning python scikit-learn
Last synced: 31 Jul 2024
https://github.com/js05212/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
arxiv bayesian bayesian-deep-learning bdl deep-learning machine-learning neural-networks survey variational-autoencoders
Last synced: 30 Jul 2024
https://github.com/wwrechard/pydlm
A python library for Bayesian time series modeling
bayesian dlm model python seasonality statistics time-series timeseries trends
Last synced: 30 Jul 2024
https://github.com/stan-dev/bayesplot
bayesplot R package for plotting Bayesian models
bayesian ggplot2 mcmc pandoc r-package stan statistical-graphics visualization
Last synced: 30 Jul 2024
https://github.com/easystats/correlation
:link: Methods for Correlation Analysis
bayesian bayesian-correlations biserial cor correlation correlation-analysis correlations easystats gamma gaussian-graphical-models hacktoberfest matrix multilevel-correlations outliers partial partial-correlations r regression robust spearman
Last synced: 02 Oct 2024
https://github.com/stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics multilevel-models r r-package rstan rstanarm stan statistical-modeling
Last synced: 02 Aug 2024
https://github.com/uncomplicate/bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
bayesian bayesian-data-analysis bayesian-inference clojure clojure-library cuda gpu gpu-acceleration gpu-computing high-performance-computing machine-learning markov-chain-monte-carlo mcmc opencl statistics
Last synced: 02 Aug 2024
https://github.com/elfi-dev/elfi
ELFI - Engine for Likelihood-Free Inference
bayesian bayesian-inference inference likelihood-free python simulator statistics
Last synced: 02 Aug 2024
https://github.com/wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
bayesian bayesian-optimization gaussian-processes hyperparameter-optimization machine-learning optimization
Last synced: 02 Aug 2024
https://github.com/tpapp/dynamichmc.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language
Last synced: 29 Sep 2024
https://github.com/tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language
Last synced: 02 Aug 2024
https://github.com/PecanProject/pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
bayesian cyberinfrastructure data-assimilation data-science ecosystem-model ecosystem-science forecasting meta-analysis national-science-foundation pecan plants r
Last synced: 03 Aug 2024
https://github.com/m-clark/Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip
Last synced: 30 Jul 2024
https://github.com/stan-dev/shinystan
shinystan R package and ShinyStan GUI
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics mcmc r r-package shiny-apps stan statistical-graphics
Last synced: 13 Aug 2024
https://github.com/muatik/naive-bayes-classifier
yet another general purpose naive bayesian classifier.
bayes-classifier bayesian classifier machine-learning python
Last synced: 07 Aug 2024
https://github.com/brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
bayesian bayesian-inference bayesian-methods bayesian-neural-networks bayesian-statistics data-science machine-learning python pytorch statistics tensorflow
Last synced: 29 Sep 2024
https://github.com/stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics cross-validation information-criterion model-comparison r-package stan
Last synced: 02 Aug 2024
https://github.com/neuropsychology/psycho.R
An R package for experimental psychologists
apa apa6 bayesian correlation format interpretation mixed-models neuroscience psycho psychology r rstanarm statistics
Last synced: 05 Aug 2024
https://github.com/stan-dev/cmdstanr
CmdStanR: the R interface to CmdStan
bayesian markov-chain-monte-carlo maximum-likelihood mcmc r-package stan variational-inference
Last synced: 13 Aug 2024
https://github.com/probabilists/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
bayesian density-estimation density-ratio-estimation inference likelihood-free-inference normalizing-flows probability python pytorch simulation-based-inference
Last synced: 29 Sep 2024
https://github.com/ColtAllen/btyd
Buy Till You Die and Customer Lifetime Value statistical models in Python.
bayesian buy-til-you-die customer-lifetime-value data-science python
Last synced: 02 Aug 2024
https://github.com/lawmurray/Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics
Last synced: 31 Jul 2024
https://github.com/lettier/lda-topic-modeling
A PureScript, browser-based implementation of LDA topic modeling.
bayesian bulma bulma-css clustering data-science functional-programming gibbs-sampling latent-dirichlet-allocation lda machine-learning machine-learning-algorithms natural-language-processing nlp nlp-machine-learning purescript reactive reactive-programming text-mining thermite topic-modeling
Last synced: 30 Sep 2024
https://github.com/zlxy9892/ml_code
A repository for recording the machine learning code
apriori artificial-intelligence bayesian clustering cv decision-tree deep-learning k-means keras knn logistic-regression machine-learning mnist neural-network nlp pca scikit-learn sklearn svd tensorflow
Last synced: 26 Sep 2024
https://github.com/JEFworks-Lab/HoneyBADGER
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
bayesian bioinformatics cnv-detection heterogeneity hmm single-cell-analysis single-cell-rna-seq subpopulation transcriptomics
Last synced: 01 Aug 2024
https://github.com/m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics brms gibbs hamiltonian-monte-carlo likelihood mcmc metropolis-hastings posterior-predictive posterior-probability prior r regression-models rstan rstanarm stan
Last synced: 02 Aug 2024
https://github.com/catavallejos/BASiCS
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
bayesian bioconductor-package gene-expression r rcpp rcpparmadillo scrna-seq single-cell
Last synced: 01 Aug 2024
https://github.com/AstraZeneca/judgyprophet
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
ai bayesian data-science forecasting machine-learning python statistics
Last synced: 26 Sep 2024
https://github.com/ropensci/stantargets
Reproducible Bayesian data analysis pipelines with targets and cmdstanr
bayesian high-performance-computing make r r-targetopia reproducibility rstats rstats-package stan statistics targets
Last synced: 13 Aug 2024
https://github.com/helske/walker
Bayesian Generalized Linear Models with Time-Varying Coefficients
bayesian generalized-linear-models mcmc r stan time-series
Last synced: 02 Aug 2024
https://github.com/merliseclyde/BAS
BAS R package https://merliseclyde.github.io/BAS/
bayesian bayesian-inference cran mcmc model-selection predictive-modeling r-package regression variable-selection
Last synced: 30 Jul 2024
https://github.com/tpapp/LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
bayesian bayesian-data-analysis bayesian-inference bayesian-methods julia mcmc
Last synced: 31 Jul 2024
https://github.com/siavashserver/neonrvm
An open source machine learning library for performing regression tasks using RVM technique.
bayesian bindings c machine-learning python regression relevance-vector-machine rvm sparse
Last synced: 31 Jul 2024
https://github.com/tpapp/dynamichmcexamples.jl
Examples for Bayesian inference using DynamicHMC.jl and related packages.
bayesian bayesian-data-analysis bayesian-inference julia julia-language julialang mcmc
Last synced: 29 Sep 2024
https://github.com/dionhaefner/bayesian-histograms
Bayesian histograms for estimation of binary rare event rates, with fully automated bin pruning :bar_chart:
bayesian binning data-mining histogram rare-events
Last synced: 02 Oct 2024
https://github.com/abojchevski/paican
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
anomalies bayesian clustering community-detection graphs robust tensorflow
Last synced: 31 Jul 2024
https://github.com/juliarobotics/kerneldensityestimate.jl
Kernel Density Estimate with product approximation using multiscale Gibbs sampling
bayesian gadfly inference julialang multiscale-gibbs-sampling probabilistic-programming
Last synced: 29 Sep 2024
https://github.com/JuliaRobotics/KernelDensityEstimate.jl
Kernel Density Estimate with product approximation using multiscale Gibbs sampling
bayesian gadfly inference julialang multiscale-gibbs-sampling probabilistic-programming
Last synced: 02 Aug 2024
https://github.com/posterior/treecat
A Bayesian latent tree model of high-dimensional heterogeneous data
bayesian machine-learning mcmc python unsupervised-learning
Last synced: 30 Jul 2024
https://github.com/mattcunningham/naive-apl
Naive Bayesian Classifier written in APL
api bayes-classifier bayesian machine-learning
Last synced: 30 Jul 2024
https://github.com/tpapp/mcmcdiagnostics.jl
Markov Chain Monte Carlo convergence diagnostics in Julia
bayesian bayesian-inference bayesian-methods bayesian-statistics julia julia-language
Last synced: 29 Sep 2024
https://github.com/iiasa/ibis.iSDM
Modelling framework for creating Integrated SDMS
bayesian biodiversity integrated-framework poisson-process scenarios sdm spatial-grain spatial-predictions species-distribution-modelling
Last synced: 03 Aug 2024
https://github.com/hendersontrent/posteriorplots.jl
Graphical tools for Bayesian inference and posterior predictive checks
bayesian bayesian-inference bayesian-statistics julia-language mcmc
Last synced: 29 Sep 2024
https://github.com/jeffreypullin/rater
R package to fit statistical models to repeated categorical rating data using Stan
annotations bayesian bayesian-statistics r r-package stan
Last synced: 30 Sep 2024
https://github.com/chyikwei/bnp
Bayesian nonparametric models for python
bayesian data-analysis probabilistic-graphical-models python topic-modeling
Last synced: 02 Aug 2024
https://github.com/jrnold/bugs-examples-in-stan
Simon Jackman's "BUGS Examples" translated into Stan
bayesian bayesian-statistics stan
Last synced: 30 Jul 2024
https://github.com/boralt/EmbeddedAI
C++ AI library
ai artificial-intelligence bayesian c-plus-plus
Last synced: 02 Aug 2024
https://github.com/theogf/BayesianQuadrature.jl
Is there anything we can't make Bayesian?
bayesian bayesian-inference bayesian-quadrature gaussian integral julia quadrature
Last synced: 02 Aug 2024
https://github.com/dominiquemakowski/cognitivemodels
Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
bayesian book cognitive ddm drift-diffusion julia mixed-models models random-factors reaction-time statistical-analysis turing tutorial
Last synced: 29 Sep 2024
https://github.com/apear9/riskmapr
Code for riskmapr apps for invasive weed risk mapping
bayesian bayesian-network data-science ecology ecology-of-invasion invasive-species risk-map shiny shiny-apps weeds
Last synced: 13 Aug 2024
https://github.com/sethaxen/posteriordb.jl
Utilities for loading posteriordb with Julia
Last synced: 01 Oct 2024
https://github.com/davidar/stochaskell
bayesian haskell machine-learning probabilistic-programming
Last synced: 03 Oct 2024
https://github.com/fweber144/shinybrms
An R package providing a GUI ('shiny' app) for the R package 'brms'.
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-statistics brms cmdstanr gui mcmc r r-package rstan shiny shiny-app stan statistical-analysis statistical-inference statistical-models statistics
Last synced: 13 Aug 2024
https://github.com/CoryMcCartan/conformalbayes
Jackknife(+) Predictive Intervals for Bayesian Models
bayesian conformal-prediction prediction r
Last synced: 03 Aug 2024
https://github.com/itsdfish/categorizationmodels.jl
Categorization Models
bayesian categorization julia julia-language julialang order-effects quantum-cognition
Last synced: 29 Sep 2024
https://github.com/dominiquemakowski/subjectivescalesmodels.jl
A Julia package for Beta-like regression models useful for subjective scales data (Likert scales, analog scales, ...)
analog bayesian beta beta-regression cognitive julia likert ordbeta ordered scales survey turing
Last synced: 29 Sep 2024
https://github.com/palewire/ipsos-credibility-interval
A Python tool that calculates Bayesian credibility intervals for online polling using the Ipsos method
bayesian data-journalism journalism news polling python statistics
Last synced: 01 Oct 2024
