There are 25 repositories under bayesian-statistics topic.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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.
A python tutorial on bayesian modeling techniques (PyMC3)
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.
Gaussian processes in TensorFlow
Bayesian inference with probabilistic programming.
PyMC educational resources
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Statistical package in Python based on Pandas
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Code for modelling estimated deaths and cases for COVID19.
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
RStan, the R interface to Stan
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
How to do Bayesian statistical modelling using numpy and PyMC3
A collection of Bayesian data analysis recipes using PyMC3
Probabilistic programming via source rewriting
Statistical Rethinking (2nd ed.) with NumPyro
rstanarm R package for Bayesian applied regression modeling
A probabilistic programming language
Tidy Dataframes and Expressions with Statistical Details 📉 📜🔣✅
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
shinystan R package and ShinyStan GUI
Bayesian Coherent Point Drift (BCPD/BCPD++)
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Statistical Rethinking with PyTorch and Pyro
A Bayesian Analysis Toolkit in Julia
A Python package for building Bayesian models with TensorFlow or PyTorch
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
Bayesian Statistics using Julia and Turing
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
An R package for Bayesian structural equation modeling
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.