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Efficient Sampling of Equilibrium States Using Boltzmann Generators (CS 230 Final Project)

Final project for Stanford CS 230 - Deep learning (Autumn 2019). Our goal is to apply boltzmann generators to new molecular systems. A description of our work can be found in our project writeup.

Installation and Usage

To view our analysis, one can perform the following steps.

  • Activate a virtual environment and install the required libraries, e.g.:
virtualenv -p python .env
source .env/bin/activate 
pip install -r requirements.txt
  • If using Anaconda, the commands are:
conda create -n .env pip
conda activate .conda-env
pip install -r requirements.txt
  • Then open up one of the Jupyter notebooks located in the notebooks folder, such as `double_well.ipynb' or 'analytical_example.ipynb'

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Final project for Stanford CS 230 - Deep learning (Autumn 2019).

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