bayesian-statistics

There are 41 repositories under bayesian-statistics topic.

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
Language:HTML 12678
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.
data-science machine-learning deep-learning interview-preparation jobs artificial-intelligence pytorch-tutorial graduate-school pytorch python jax autograd information-theory bayesian-statistics convolutional-neural-networks ensemble-learning feature-extraction logistic-regression loss-functions
4694
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
Language:C++ 2641
markdregan / Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
bayesian-statistics pymc python tutorial
Language:Jupyter Notebook 2491
prml
gerdm / prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
machine-learning prml bayesian-statistics python pattern-recognition
Language:Jupyter Notebook 2424
TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc probabilistic-graphical-models probabilistic-models probabilistic-inference bayesian-neural-networks hacktoberfest
Language:Julia 2163
pymc-devs / pymc-resources
PyMC educational resources
bayesian-inference bayesian-statistics data-analysis data-science
Language:Jupyter Notebook 2026
orbit
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
Language:Python 1995
AllenDowney / ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
bayes bayesian-statistics jupyter python
Language:Jupyter Notebook 1897
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
Language:Python 1889
raphaelvallat / pingouin
Statistical package in Python based on Pandas
pandas statistics anova effect-size multiple-comparisons cohens-d bayesian-statistics ttest correlations circular-statistics statistical-tests statistical-methods
Language:Python 1825
kumar-shridhar / PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
convolutional-neural-networks bayesian-network bayesian-convnets bayes-by-backprop pytorch python pytorch-cnn bayesian-neural-networks bayesian-deep-learning bayesian-inference bayesian-statistics image-recognition aleatoric-uncertainties bayes bayesian-networks variational-inference variational-bayes
Language:Python 1531
bambinos / bambi
BAyesian Model-Building Interface (Bambi) in Python.
bayesian-inference bayesian-statistics python regression-models statistical-analysis statistical-modeling
Language:Python 1142
stan-dev / rstan
RStan, the R interface to Stan
bayesian-data-analysis bayesian-inference bayesian-statistics mcmc r r-package stan
Language:R 1054
tirthajyoti / Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
statistics python numpy pandas numerical-analysis analytics machine-learning bayesian-statistics inferential-statistics statsmodels probability mathematics mathematical-programming matplotlib scipy data-science normal-distribution hypothesis-testing anova clustering
Language:Jupyter Notebook 962
ImperialCollegeLondon / covid19model
Code for modelling estimated deaths and cases for COVID19.
covid-19 bayesian-statistics renewal-process branching-process intervention-study probabilistic-models statistical-models statistical-inference statistical-computing
Language:Stan 944
Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
gradient-descent bayesian-statistics calculus determinants eigenvalues-and-eigenvectors linear-algebra linear-equation linear-regression machine-learning mathematical-optimization mathematics probability
Language:Jupyter Notebook 672
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
Language:Jupyter Notebook 664
ericmjl / bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
bayesian-inference bayesian bayesian-statistics bayesian-data-analysis bayesian-analysis bayesian-methods notebook treatment-groups neural-networks
Language:Jupyter Notebook 558
cpfiffer / julia-bootcamp-2022
autodiff bayesian-statistics econometrics julia numerical-optimization statistics
Language:Jupyter Notebook 480
fehiepsi / rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
bayesian-statistics causal-inference laplace-approximation markov-chain-monte-carlo numpy python variational-inference
Language:Jupyter Notebook 455
cscherrer / Soss.jl
Probabilistic programming via source rewriting
julia julia-language julia-library probabilistic-programming bayesian-inference bayesian-statistics metaprogramming
Language:Julia 421
stan-dev / rstanarm
rstanarm R package for Bayesian applied regression modeling
stan multilevel-models r-package bayesian bayesian-inference bayesian-methods bayesian-statistics bayesian-data-analysis statistical-modeling r rstan rstanarm
Language:R 399
storopoli / Bayesian-Statistics
Bayesian statistics graduate course
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing
Language:Typst 361
fasiha / ebisu
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
spaced-repetition bayesian-statistics statistical-methods recall-probabilities review probability-density quiz recall monte-carlo python python3
Language:Python 331
hakaru-dev / hakaru
A probabilistic programming language
haskell maple machine-learning bayesian-statistics probabilistic-programming
Language:Haskell 319
statsExpressions
IndrajeetPatil / statsExpressions
Tidy data frames and expressions with statistical summaries 📜
statistical-tests statistical-details meta-analysis contingency-table robust correlation parametric bayesian-inference bayesian-statistics robust-statistics effectsize tidy
Language:R 314
paramonte
cdslaborg / paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
monte-carlo markov-chain adaptive-learning bayesian-inference bayesian-statistics machine-learning machine-learning-algorithms machine-learning-library sampling c cpp fortran python matlab monte-carlo-simulations mpi mcmc openmp numerical-integration
Language:Fortran 293
ksachdeva / rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
tensorflow tensorflow-probability bayesian-inference bayesian-statistics statistical-rethinking tutorials markov-chain-monte-carlo variational-inference
Language:Jupyter Notebook 273
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
Language:Julia 251
bat / BAT.jl
A Bayesian Analysis Toolkit in Julia
julia statistics bayesian-inference bayesian-statistics mcmc machine-learning prior posterior
Language:Julia 216
stan-dev / shinystan
shinystan R package and ShinyStan GUI
stan mcmc r-package statistical-graphics shiny-apps r bayesian bayesian-statistics bayesian-inference bayesian-data-analysis bayesian-methods
Language:R 199
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
Language:Python 174
storopoli / Bayesian-Julia
Bayesian Statistics using Julia and Turing
bayesian-statistics julia turing tutorials
Language:Julia 169
fehiepsi / rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
bayesian-data-analysis bayesian-inference bayesian-statistics bayesian-methods
Language:Jupyter Notebook 163
stan-dev / loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
cross-validation stan r-package bayesian-data-analysis information-criterion bayesian-methods model-comparison bayesian bayesian-inference bayesian-statistics bayes
Language:R 156

bayesian-statistics

kmario23 / deep-learning-drizzle

BoltzmannEntropy / interviews.ai

stan-dev / stan

markdregan / Bayesian-Modelling-in-Python

gerdm / prml

TuringLang / Turing.jl

pymc-devs / pymc-resources

uber / orbit

AllenDowney / ThinkBayes2

GPflow / GPflow

raphaelvallat / pingouin

kumar-shridhar / PyTorch-BayesianCNN

bambinos / bambi

stan-dev / rstan

tirthajyoti / Stats-Maths-with-Python

ImperialCollegeLondon / covid19model

Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization

ericmjl / bayesian-stats-modelling-tutorial

ericmjl / bayesian-analysis-recipes

cpfiffer / julia-bootcamp-2022

fehiepsi / rethinking-numpyro

cscherrer / Soss.jl

stan-dev / rstanarm

storopoli / Bayesian-Statistics

fasiha / ebisu

hakaru-dev / hakaru

IndrajeetPatil / statsExpressions

cdslaborg / paramonte

ksachdeva / rethinking-tensorflow-probability

tpapp / DynamicHMC.jl

bat / BAT.jl

stan-dev / shinystan

brendanhasz / probflow

storopoli / Bayesian-Julia

fehiepsi / rethinking-pyro

stan-dev / loo