In this repo, we will modify SBTM method from Boffi et. al. 2023 for sampling from complex probability measures. The authors of this repo are @birajpandey and @Vilin97.

1. Do a clean download of the repository.

   git clone https://github.com/birajpandey/SBTM-sampling.git
   

2. Go to the downloaded repo

   cd path/to/SBTM-sampling
   

3. Run the Makefile. It creates an anaconda environment called sbtm_env, downloads required packages, datasets and runs tests.

   make 
   

4. Activate the conda environment.

   conda activate sbtm_env
   

5. Install the sbtm package

   pip install -e .
   

6. Run the files in scripts/ to reproduce our results.

Remark: This project structure is based on the cookiecutter data science project template. We also took a great deal of help from the The Good Research Code Handbook written by Patrick J Mineault.