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DeepPurpose documentation!

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Welcome! This is the documentation for DeepPurpose. 

DeepPurpose is a Deep Learning Based Drug Repurposing and Virtual Screening Toolkit (using PyTorch). 

It allows very easy usage (only one line of code!) 

for non-computational domain researchers to be able to 

obtain a list of potential drugs using deep learning 

while facilitating deep learning method research in this topic 

by providing a flexible framework (less than 10 lines of codes!) and baselines. 

The Github repository is located `here <https://github.com/kexinhuang12345/DeepPurpose>`_.

.. toctree::

   :glob:

   :maxdepth: 1

   :caption: Background 

   notes/introduction

   notes/DTI 

.. toctree::

   :glob:

   :maxdepth: 1

   :caption: How to run

   notes/download 

   notes/casestudy

.. toctree::

   :glob:

   :maxdepth: 1

   :caption: Package Reference

   notes/models

   notes/dataset

   notes/chemutils

   notes/oneliner

   notes/model_helper

   notes/utils

.. toctree::

   :glob:

   :maxdepth: 1

   :caption: Importance Function

   notes/model

   notes/encoder

   notes/process_data

   notes/configuration

   notes/utility_function