/tools/molecular-vae
molecular-vae
aksub99/molecular-vae
68 stars16 forksJupyter NotebookAdded February 4, 2026
summary
This repository provides a PyTorch implementation of a variational autoencoder designed for automatic chemical design. It focuses on generating continuous representations of molecules, which can be utilized for drug discovery and molecular optimization.
description
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
topics
cheminformaticspytorchmaterials-sciencematerials-informaticspythondeep-learningvariational-autoencodermolecular-structuresmachine-learningdrug-discoverychemistrynatural-language-processingjupyter-notebook
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