/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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