# SMILES Encoding

SMI-SSED is a Mamba-based chemical foundation model that supports various complex tasks such as quantum property prediction, achieving state-of-the-art performance on multiple benchmark datasets.

A neural language model toolkit for pretraining and fine-tuning SMILES-based molecular language models, supporting semi-supervised learning