:autogenerated:

gt4sd.algorithms.conditional_generation.guacamol package
========================================================

.. automodule:: gt4sd.algorithms.conditional_generation.guacamol
    


    Submodules:

    .. toctree::
       :maxdepth: 1

       gt4sd.algorithms.conditional_generation.guacamol.core

    Subpackages:

    .. toctree::
       :maxdepth: 1

       gt4sd.algorithms.conditional_generation.guacamol.implementation



    Summary
    -------

    ``__all__`` Classes:


    .. list-table::
    
       * - :class:`AaeGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.AaeGenerator>`
         - Configuration to generate molecules using an adversarial autoencoder.
       * - :class:`GraphGAGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.GraphGAGenerator>`
         - Configuration to generate optimizied molecules using Graph-Based Genetic algorithm
       * - :class:`GraphMCTSGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.GraphMCTSGenerator>`
         - Configuration to generate optimizied molecules using Graph-based Genetic Algorithm and Generative Model/Monte Carlo Tree Search for the Exploration of Chemical Space
       * - :class:`GuacaMolGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.GuacaMolGenerator>`
         - GuacaMol generation algorithm.
       * - :class:`MosesGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.MosesGenerator>`
         - Moses generation algorithm.
       * - :class:`OrganGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.OrganGenerator>`
         - Configuration to generate molecules using Objective-Reinforced Generative Adversarial Network
       * - :class:`SMILESGAGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.SMILESGAGenerator>`
         - Configuration to generate optimizied molecules using SMILES Genetic algorithm
       * - :class:`SMILESLSTMHCGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.SMILESLSTMHCGenerator>`
         - Configuration to generate optimized molecules using recurrent neural networks with hill climbing algorithm.
       * - :class:`SMILESLSTMPPOGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.SMILESLSTMPPOGenerator>`
         - Configuration to generate optimizied molecules using recurrent neural networks with hill climbing algorithm
       * - :class:`VaeGenerator <gt4sd.algorithms.conditional_generation.guacamol.core.VaeGenerator>`
         - Configuration to generate molecules using a variational autoencoder.