Notebooks for the Practicals at the Deep Learning Indaba 2022.
- Updated
Apr 3, 2024 - Jupyter Notebook
Notebooks for the Practicals at the Deep Learning Indaba 2022.
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
A collection of Bayesian data analysis recipes using PyMC3
A collection of educational notebooks covering key mathematical concepts and their applications in quantitative finance
A colourful collection of codes and notebooks, like Planet Sakaar
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
Example using PyMC in marimo notebooks
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
DS Notebooks
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
Summary notebook implementing Bayesian Model Averaging with numpyro.
Collab Notebook Learned and Implemented During Spring 2024
Jupyter Notebook solutions for Advanced Statistical Inference course at EURECOM
Library of voice-triggered code snippets for arviz using Voice In Jupyter Notebooks
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