Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with bayesian-statistics
A curated list of projects in awesome lists tagged with bayesian-statistics .
https://github.com/kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
artificial-intelligence-algorithms artificial-neural-networks bayesian-statistics computer-vision deep-learning deep-neural-networks deep-reinforcement-learning explainable-ai geometric-deep-learning graph-neural-networks machine-learning medical-imaging natural-language-processing optimization pattern-recognition probabilistic-graphical-models probability reinforcement-learning speech-recognition visual-recognition
Last synced: 03 Dec 2024
https://github.com/boltzmannentropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial
Last synced: 20 Dec 2024
https://github.com/BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial
Last synced: 30 Oct 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: 17 Dec 2024
https://github.com/markdregan/bayesian-modelling-in-python
A python tutorial on bayesian modeling techniques (PyMC3)
bayesian-statistics pymc python tutorial
Last synced: 21 Dec 2024
https://github.com/markdregan/Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
bayesian-statistics pymc python tutorial
Last synced: 27 Nov 2024
https://github.com/gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
bayesian-statistics machine-learning pattern-recognition prml python
Last synced: 21 Dec 2024
https://github.com/turinglang/turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 17 Dec 2024
https://github.com/TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing
Last synced: 27 Oct 2024
https://github.com/pymc-devs/pymc-resources
PyMC educational resources
bayesian-inference bayesian-statistics data-analysis data-science
Last synced: 18 Dec 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: 17 Dec 2024
https://github.com/gpflow/gpflow
Gaussian processes in TensorFlow
bayesian-statistics deep-learning gaussian-processes gp gpflow machine-learning markov-chain-monte-carlo ml stochastic-processes tensorflow variational-inference
Last synced: 17 Dec 2024
https://github.com/GPflow/GPflow
Gaussian processes in TensorFlow
bayesian-statistics deep-learning gaussian-processes gp gpflow machine-learning markov-chain-monte-carlo ml stochastic-processes tensorflow variational-inference
Last synced: 05 Nov 2024
https://github.com/allendowney/thinkbayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
bayes bayesian-statistics jupyter python
Last synced: 17 Dec 2024
https://github.com/AllenDowney/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
bayes bayesian-statistics jupyter python
Last synced: 27 Nov 2024
https://allendowney.github.io/ThinkBayes2/
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
bayes bayesian-statistics jupyter python
Last synced: 13 Nov 2024
https://github.com/raphaelvallat/pingouin
Statistical package in Python based on Pandas
anova bayesian-statistics circular-statistics cohens-d correlations effect-size multiple-comparisons pandas statistical-methods statistical-tests statistics ttest
Last synced: 05 Nov 2024
https://github.com/kumar-shridhar/pytorch-bayesiancnn
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 21 Dec 2024
https://github.com/kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 30 Oct 2024
https://github.com/bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
bayesian-inference bayesian-statistics python regression-models statistical-analysis statistical-modeling
Last synced: 17 Dec 2024
https://github.com/stan-dev/rstan
RStan, the R interface to Stan
bayesian-data-analysis bayesian-inference bayesian-statistics mcmc r r-package stan
Last synced: 19 Dec 2024
https://github.com/imperialcollegelondon/covid19model
Code for modelling estimated deaths and cases for COVID19.
bayesian-statistics branching-process covid-19 intervention-study probabilistic-models renewal-process statistical-computing statistical-inference statistical-models
Last synced: 06 Nov 2024
https://github.com/tirthajyoti/stats-maths-with-python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
analytics anova bayesian-statistics clustering data-science hypothesis-testing inferential-statistics machine-learning mathematical-programming mathematics matplotlib normal-distribution numerical-analysis numpy pandas probability python scipy statistics statsmodels
Last synced: 17 Dec 2024
https://github.com/tirthajyoti/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
analytics anova bayesian-statistics clustering data-science hypothesis-testing inferential-statistics machine-learning mathematical-programming mathematics matplotlib normal-distribution numerical-analysis numpy pandas probability python scipy statistics statsmodels
Last synced: 12 Nov 2024
https://github.com/ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
bayesian bayesian-data-analysis bayesian-data-science bayesian-inference bayesian-statistics pymc
Last synced: 18 Dec 2024
https://github.com/ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics neural-networks notebook treatment-groups
Last synced: 21 Dec 2024
https://github.com/cpfiffer/julia-bootcamp-2022
autodiff bayesian-statistics econometrics julia numerical-optimization statistics
Last synced: 15 Dec 2024
https://github.com/fehiepsi/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
bayesian-statistics causal-inference laplace-approximation markov-chain-monte-carlo numpy python variational-inference
Last synced: 21 Dec 2024
https://github.com/cscherrer/soss.jl
Probabilistic programming via source rewriting
bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming
Last synced: 21 Dec 2024
https://github.com/cscherrer/Soss.jl
Probabilistic programming via source rewriting
bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming
Last synced: 13 Nov 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: 20 Dec 2024
https://github.com/storopoli/bayesian-statistics
Bayesian statistics graduate course
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing
Last synced: 15 Dec 2024
https://github.com/fasiha/ebisu
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
bayesian-statistics monte-carlo probability-density python python3 quiz recall recall-probabilities review spaced-repetition statistical-methods
Last synced: 20 Dec 2024
https://github.com/indrajeetpatil/statsexpressions
Tidy data frames and expressions with statistical summaries 📜
bayesian-inference bayesian-statistics contingency-table correlation effectsize meta-analysis parametric robust robust-statistics statistical-details statistical-tests tidy
Last synced: 20 Dec 2024
https://github.com/IndrajeetPatil/statsExpressions
Tidy data frames and expressions with statistical summaries 📜
bayesian-inference bayesian-statistics contingency-table correlation effectsize meta-analysis parametric robust robust-statistics statistical-details statistical-tests tidy
Last synced: 22 Nov 2024
https://github.com/ksachdeva/rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
bayesian-inference bayesian-statistics markov-chain-monte-carlo statistical-rethinking tensorflow tensorflow-probability tutorials variational-inference
Last synced: 18 Dec 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: 13 Nov 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: 16 Dec 2024
https://github.com/cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
adaptive-learning bayesian-inference bayesian-statistics c cpp fortran machine-learning machine-learning-algorithms machine-learning-library markov-chain matlab mcmc monte-carlo monte-carlo-simulations mpi numerical-integration openmp python sampling
Last synced: 20 Dec 2024
https://github.com/bat/bat.jl
A Bayesian Analysis Toolkit in Julia
bayesian-inference bayesian-statistics julia machine-learning mcmc posterior prior statistics
Last synced: 16 Dec 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: 18 Dec 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: 17 Dec 2024
https://github.com/storopoli/bayesian-julia
Bayesian Statistics using Julia and Turing
bayesian-statistics julia turing tutorials
Last synced: 21 Dec 2024
https://github.com/fehiepsi/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics
Last synced: 01 Nov 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)
bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics cross-validation information-criterion model-comparison r-package stan
Last synced: 20 Dec 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: 17 Dec 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: 30 Oct 2024
https://github.com/hyosubkim/bayes-toolbox
bayes-toolbox
bayesian-inference bayesian-statistics kruschke probabilistic-programming python statistics
Last synced: 12 Nov 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: 29 Nov 2024
https://github.com/weijie-chen/bayesian-statistics-econometrics
Bayesian Statistics-Econometrics
bayesian-inference bayesian-methods bayesian-statistics econometrics statistics
Last synced: 16 Dec 2024
https://github.com/cscherrer/tilde.jl
WIP successor to Soss.jl
bayesian-inference bayesian-statistics julia-language metaprogramming probabilistic-programming statistics
Last synced: 01 Nov 2024
https://github.com/turinglang/turingglm.jl
Bayesian Generalized Linear models using `@formula` syntax.
bayesian-inference bayesian-statistics hmc julia-language mcmc turing
Last synced: 17 Dec 2024
https://github.com/tpapp/transformvariables.jl
Transformations to contrained variables from ℝⁿ.
bayesian-inference bayesian-statistics julia julia-package
Last synced: 27 Oct 2024
https://github.com/ericmjl/bayesian-stats-talk
Doing Bayesian statistics in Python!
bayesian bayesian-data-analysis bayesian-inference bayesian-statistics
Last synced: 14 Oct 2024
https://github.com/montanaz0r/bayesian-statistics-the-fun-way
Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
bayesian-data-analysis bayesian-statistics data-science jupyter-notebook numpy pandas probability python scipy statistics
Last synced: 07 Nov 2024
https://github.com/aesara-devs/aeppl
Tools for an Aesara-based PPL.
bayesian-statistics modeling-and-simulation ppl probability statistics symbolic-computation term-rewriting
Last synced: 15 Dec 2024
https://github.com/rnburn/bbai
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
bayesian-statistics gaussian-processes hyperparameter-optimization machine-learning python regression-models statistics
Last synced: 19 Nov 2024
https://github.com/dm13450/dirichletprocess
Build dirichletprocess objects for data analysis
bayesian bayesian-inference bayesian-statistics dirichlet-process mcmc r r-package
Last synced: 18 Dec 2024
https://github.com/gerdm/bayes
Neat Bayesian machine learning examples
bayesian-statistics jax machine-learning python
Last synced: 19 Dec 2024
https://github.com/stan-dev/rstantools
Tools for Developing R Packages Interfacing with Stan
bayesian-data-analysis bayesian-statistics developer-tools r-package stan
Last synced: 12 Nov 2024
https://github.com/fasiha/ebisu.js
JavaScript port of Ebisu, the public-domain library for Bayesian quiz scheduling.
bayesian-statistics javascript probability-density quiz recall recall-probabilities review spaced-repetition statistical-methods
Last synced: 29 Oct 2024
https://github.com/jamesyang007/autoppl
C++ template library for probabilistic programming
automatic-differentiation bayesian bayesian-inference bayesian-statistics cpp17 ppl probabilistic-models probabilistic-programming sampling-algorithms sampling-posterior template-metaprogramming
Last synced: 28 Oct 2024
https://github.com/andrewheiss/bayesf22.classes.andrewheiss.com
📊 🌐 🧑🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
bayesian-statistics quarto r teaching-materials
Last synced: 21 Dec 2024
https://github.com/stefanwebb/flowtorch-old
Separating Normalizing Flows code from Pyro and improving API
bayesian-inference bayesian-statistics normalizing-flows probabilistic-graphical-models probabilistic-models probabilistic-programming pytorch
Last synced: 23 Nov 2024
https://github.com/storopoli/Turing-Workshop
DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop
bayesian-statistics epidemiological-models julia turing tutorials
Last synced: 30 Oct 2024
https://github.com/m-clark/m-clark.github.io
Personal website
bayesian-statistics cscar data-science machine-learning michael-clark r stan statistics
Last synced: 29 Nov 2024
https://github.com/unbalancedparentheses/the_bayes_way
📚 The Bayes Way 🎓
bayes bayesian-statistics probabilistic-programming probability statistics
Last synced: 15 Nov 2024
https://payampiray.github.io/cbm
computational and brain/behavior modeling
bayesian-statistics computational-modeling computational-neuroscience
Last synced: 01 Nov 2024
https://github.com/avehtari/rhat_ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics markov-chain-monte-carlo
Last synced: 03 Dec 2024
https://github.com/wlandau/targets-stan
An example project to validate a Stan model in a targets pipeline
bayesian-statistics data-sceince high-performance-computing pipeline r reproducibility reproducible-research rstats stan-model statistics targets
Last synced: 27 Oct 2024
https://github.com/arm61/uravu
A straightforward Bayesian data fitting library
bayesian-inference bayesian-statistics data-analysis fitting markov-chain-monte-carlo nested-sampling
Last synced: 28 Oct 2024
https://github.com/mbjoseph/scr-stan
Spatial capture-recapture models in Stan
bayesian-statistics capture-recapture data-augmentation density-estimation ecology r spatial stan
Last synced: 11 Nov 2024
https://github.com/wlandau/instantiate
Pre-compiled CmdStan models in R packages
bayesian-statistics cmdstan cmdstanr markov-chain-monte-carlo mc-stan stan
Last synced: 27 Oct 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/statsim/app
StatSim. Bayesian inference and statistical simulations in the browser
bayesian-statistics electronjs graphical-programming histogram javascript modeling probabilistic-programming probability pwa simulation statistics vuejs webppl
Last synced: 11 Oct 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: 12 Oct 2024
https://github.com/rensvandeschoot/tutorials
Underlying code for the online stats training website.
bayes bayesian-statistics jasp mplus r
Last synced: 22 Nov 2024
https://github.com/samuelsonric/algebraicinference.jl
Bayesian inference on wiring diagrams.
applied-category-theory bayesian-inference bayesian-statistics category-theory inference julia message-passing probabilistic-graphical-models
Last synced: 09 Nov 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: 14 Oct 2024
https://github.com/teddygroves/bibat
A batteries-included template for Bayesian data analysis projects
arviz bayesian-statistics cmdstanpy cookiecutter mcmc python stan template-project
Last synced: 15 Nov 2024
https://github.com/jrnold/bugs-examples-in-stan
Simon Jackman's "BUGS Examples" translated into Stan
bayesian bayesian-statistics stan
Last synced: 05 Dec 2024
https://github.com/r-lum/luminescence
Development of the R package 'Luminescence'
bayesian-statistics data-science geochronology luminescence luminescence-dating open-science osl plotting r r-package radiofluorescence rstats tl xsyg
Last synced: 19 Dec 2024
https://github.com/josephofiowa/pydata-dc-2018
@matthewbrems and I presented "Recreating, Understanding, and Visualizing FiveThirtyEight's Elections Forecast" at PyData DC 2018
bayesian-inference bayesian-statistics elections elections-2018 fivethirtyeight pydata
Last synced: 02 Dec 2024
https://github.com/storopoli/estatistica-bayesiana
Disciplina de Estatística Bayesiana da UNINOVE
bayesian-statistics rstan rstanarm uninove
Last synced: 12 Oct 2024
https://github.com/athowes/thesis
Bayesian spatio-temporal methods for small-area estimation of HIV indicators (PhD, Imperial College London, 2023)
bayesian-statistics computational-statistics hiv-aids spatial-statistics
Last synced: 16 Nov 2024
https://github.com/mikeroyal/bayesian-statistics-guide
Bayesian Statistics Guide
bayes bayes-classifier bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-network bayesian-networks bayesian-optimization bayesian-statistics deep-learning machine-learning pytorch statistics
Last synced: 09 Nov 2024
https://github.com/argiopetech/base
Bayesian Analysis for Stellar Evolution
astronomy bayesian-analysis bayesian-statistics c-plus-plus mcmc
Last synced: 15 Nov 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: 12 Nov 2024
https://github.com/dennishnf/indoor-location-using-naive-bayes
The scripts were intended to describe a Naive-Bayes-based approach to indoor location via WiFi signals.
android bayesian-methods bayesian-statistics embedded-systems indoor-localization indoor-locate indoor-navigation python wifi-network
Last synced: 23 Nov 2024
https://github.com/jhrcook/bayesian-data-analysis-course
My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.
bayes bayesian-data-analysis bayesian-statistics course distill-website rmarkdown stan
Last synced: 11 Oct 2024
https://github.com/bat/MGVI.jl
Metric Gaussian Variational Inference
bayesian-inference bayesian-statistics julia machine-learning posterior-distributions statistics
Last synced: 13 Nov 2024
https://github.com/wlandau/historicalborrowlong
Longitudinal Bayesian historical borrowing models
bayesian-statistics clinical-trials historical-data
Last synced: 27 Oct 2024
https://github.com/wlandau/rmedicine2021-pipeline
Example code for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)
bayesian bayesian-statistics cmdstanr high-performance-computing markdown pipeline pipelines r r-markdown reproducibility stan statistics targets
Last synced: 27 Oct 2024
https://github.com/bat/mgvi.jl
Metric Gaussian Variational Inference
bayesian-inference bayesian-statistics julia machine-learning posterior-distributions statistics
Last synced: 01 Dec 2024
https://github.com/petrushev/statistical-rethinking
Solutions to some of the problems in "Statistical Rethinking"
bayesian-statistics ipynb learning pymc pymc3 python statistics
Last synced: 11 Oct 2024
https://github.com/jbris/stan-cmdstanr-docker
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling
bayesian-inference bayesian-statistics bayesplot brms cmdstan data-science docker docker-compose docker-image dockerfile probabilistic-programming r rstan rstanarm stan statistics tidybayes tidyverse
Last synced: 13 Nov 2024
https://github.com/mathworks-teaching-resources/probability-theory
A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.
bayesian-statistics courseware cwm data-science mathematics matlab matlab-live-script probability-theory random-variables
Last synced: 23 Nov 2024
https://github.com/bgoodri/gr5065_2021
Material for my Columbia M.A. class "Bayesian Statistics for the Social Sciences"
bayesian-statistics social-sciences stan
Last synced: 12 Nov 2024
https://github.com/santoroma/circspacetime
Spatial and Spatio-Temporal Bayesian Model for Circular Data
bayesian-statistics circular-statistics projected-gaussian projected-normal r spatial-data-analysis spatio-temporal wrapped-gaussian wrapped-normal
Last synced: 14 Oct 2024
