There are 32 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.
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
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Code for modelling estimated deaths and cases for COVID19.
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
Statistical Rethinking (2nd ed.) with NumPyro
A probabilistic programming language
Tidy data frames and expressions with statistical summaries 📜
This repository holds slides and code for a full Bayesian statistics graduate course.
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
A Python package for building Bayesian models with TensorFlow or PyTorch
Statistical Rethinking with PyTorch and Pyro
Bayesian Statistics using Julia and Turing
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.