/tools/torch-molecule

torch-molecule

liugangcode/torch-molecule

309 stars38 forksPythonAdded February 5, 2026
summary

torch-molecule is a deep learning package designed for molecular discovery, featuring an sklearn-style interface for property prediction, inverse design, and representation learning. It supports various molecular tasks and includes datasets for training models on molecular properties.

description

torch-molecule is a deep learning package for molecular discovery, designed with an sklearn-style interface for property prediction, inverse design and representation learning.

topics

deep-learninggraph-neural-networksinverse-designmoleculeproperty-predictionrepresentation-learning

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