This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Notebooks for the Practicals at the Deep Learning Indaba 2022.
A collection of Bayesian data analysis recipes using PyMC3
A colourful collection of codes and notebooks, like Planet Sakaar
A collection of educational notebooks covering key mathematical concepts and their applications in quantitative finance
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
Notebooks
Repository covering basics of Bayesian inference
Simple Experiments mainly on Machine Learning
Some notebooks for learning about bayesian models
Notebooks for Advanced Statistical Inference(ASI) course at EURECOM
A collection of notebooks that demonstrate Bayesian data analysis
Notebooks (mostly R but some PyMC3) covering Prof Richard McElreath's Statistical Rethinking 2 book (draft version up to 26th Sept 2019) and Homeworks from his winter 2019 lecture course
Collab Notebook Learned and Implemented During Spring 2024
Summary notebook implementing Bayesian Model Averaging with numpyro.
Jupyter Notebook solutions for Advanced Statistical Inference course at EURECOM
Library of voice-triggered code snippets for arviz using Voice In Jupyter Notebooks
Presentation for part 1 and coding notebook for part 2 of my intro to Bayes sessions
Notebook for implementing Monte Carlo techniques (Metropolis-Hastings and Augmented Gibbs) to solve a Bayesian Probit regression.
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