SELFormer

SELFormer is a molecular representation learning tool that utilizes SELFIES language models to generate high-quality molecular embeddings. It is pre-trained on drug-like compounds and fine-tuned for various molecular property prediction tasks, making it a valuable resource for drug discovery and cheminformatics.