bayesian-statistics

There are 37 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!!
machine-learning deep-learning deep-neural-networks pattern-recognition computer-vision optimization visual-recognition reinforcement-learning deep-reinforcement-learning natural-language-processing artificial-neural-networks artificial-intelligence-algorithms probabilistic-graphical-models bayesian-statistics speech-recognition graph-neural-networks medical-imaging geometric-deep-learning explainable-ai probability
Language:HTML 11840
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
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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.
stan bayesian-inference bayesian bayesian-methods bayesian-statistics bayesian-data-analysis
Language:C++ 2526
markdregan / Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
bayesian-statistics tutorial pymc python
Language:Jupyter Notebook 2464
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
Language:Julia 1977
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 1916
pymc-devs / pymc-resources
PyMC educational resources
bayesian-inference bayesian-statistics data-analysis data-science
Language:Jupyter Notebook 1894
orbit
uber / orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
python forecasting bayesian exponential-smoothing pyro stan pystan probabilistic-programming probabilistic forecast orbit time-series regression arima changepoint bayesian-methods bayesian-statistics machine-learning regression-models pytorch
Language:Python 1810
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 1802
AllenDowney / ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
bayes bayesian-statistics jupyter python
Language:Jupyter Notebook 1753
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
Language:Python 1541
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 1362
stan-dev / rstan
RStan, the R interface to Stan
stan mcmc bayesian-inference bayesian-data-analysis bayesian-statistics r r-package
Language:R 1011
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
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 791
ericmjl / bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
pymc bayesian bayesian-data-science bayesian-inference bayesian-statistics bayesian-data-analysis
Language:Jupyter Notebook 649
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 551
fehiepsi / rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
bayesian-statistics laplace-approximation markov-chain-monte-carlo causal-inference variational-inference python numpy
Language:Jupyter Notebook 428
cscherrer / Soss.jl
Probabilistic programming via source rewriting
julia julia-language julia-library probabilistic-programming bayesian-inference bayesian-statistics metaprogramming
Language:Julia 410
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
Language:R 374
storopoli / Bayesian-Statistics
This repository holds slides and code for a full Bayesian statistics graduate course.
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing
Language:Typst 326
hakaru-dev / hakaru
A probabilistic programming language
haskell maple machine-learning bayesian-statistics probabilistic-programming
Language:Haskell 308
statsExpressions
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
Language:R 307
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 303
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 269
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 244
tpapp / DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
julia-language hybrid-monte-carlo bayesian-inference bayesian-methods bayesian hamiltonian-monte-carlo julia bayesian-statistics
Language:Julia 240
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 195
bat / BAT.jl
A Bayesian Analysis Toolkit in Julia
julia statistics bayesian-inference bayesian-statistics mcmc machine-learning prior posterior
Language:Julia 194
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 170
brendanhasz / probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
machine-learning data-science python tensorflow statistics bayesian-inference bayesian-statistics bayesian-methods bayesian-neural-networks pytorch bayesian
Language:Python 166
fehiepsi / rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
bayesian-data-analysis bayesian-inference bayesian-statistics bayesian-methods
Language:Jupyter Notebook 159
storopoli / Bayesian-Julia
Bayesian Statistics using Julia and Turing
bayesian-statistics julia turing tutorials
Language:Julia 154
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
Language:R 147
lei-zhang / BayesCog_Wien
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
bayesian-statistics computational-modeling stan
Language:R 132
jayelm / hoff-bayesian-statistics
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
rmarkdown bayesian-statistics
Language:HTML 117

bayesian-statistics

kmario23 / deep-learning-drizzle

BoltzmannEntropy / interviews.ai

stan-dev / stan

markdregan / Bayesian-Modelling-in-Python

TuringLang / Turing.jl

gerdm / prml

pymc-devs / pymc-resources

uber / orbit

GPflow / GPflow

AllenDowney / ThinkBayes2

raphaelvallat / pingouin

kumar-shridhar / PyTorch-BayesianCNN

stan-dev / rstan

ImperialCollegeLondon / covid19model

tirthajyoti / Stats-Maths-with-Python

ericmjl / bayesian-stats-modelling-tutorial

ericmjl / bayesian-analysis-recipes

fehiepsi / rethinking-numpyro

cscherrer / Soss.jl

stan-dev / rstanarm

storopoli / Bayesian-Statistics

hakaru-dev / hakaru

IndrajeetPatil / statsExpressions

fasiha / ebisu

ksachdeva / rethinking-tensorflow-probability

cdslaborg / paramonte

tpapp / DynamicHMC.jl

stan-dev / shinystan

bat / BAT.jl

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

brendanhasz / probflow

fehiepsi / rethinking-pyro

storopoli / Bayesian-Julia

stan-dev / loo

lei-zhang / BayesCog_Wien

jayelm / hoff-bayesian-statistics