Skip to content

Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the African Institute for Mathematical Sciences (AIMS), South Africa

License

Notifications You must be signed in to change notification settings

damonbayer/prob-epi

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

https://elizavetasemenova.github.io/prob-epi

To correct typos, please make pull requests. If these notes get published, I will list your name in Acknowledgements.

For more substantial suggestions about the course content, such as desired topics, please use issues.

If you enjoyed and/or learnt from these materials, please leave a star on GitHub and/or cite

@book{semenova24,
  author = {Semenova, Elizaveta},
  title = {Bayesian Modelling and Probabilistic Programming with Numpyro, and examples from Epidemiology.},
  year = {2024}
}

To run the code examples from the course, the recommended environemnt can be created as follows:

conda create -n aims python=3.9
conda activate aims
conda install -c conda-forge jupyter-book
conda install conda-forge::matplotlib
conda install numpy
conda install conda-forge::ghp-import
conda install conda-forge::numpyro
conda install conda-forge::jax
pip install sphinxcontrib-tikz
conda install conda-forge::geopandas
conda install conda-forge::arviz
conda install anaconda::seaborn
pip install pyppeteer

About

Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the African Institute for Mathematical Sciences (AIMS), South Africa

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%