About This project provides a lightweight, type-safe Encoder class written in Python for mapping labels (e.g., class names, tags, tokens) to numerical indices and decoding them back. It’s useful in ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

smiles-encoder is a Python package used to generate one-hot vectors representing SMILES strings (each string element is a one-hot vector). To contribute to smiles-encoder, make a pull request.

The label features are learned by the label encoder. The label similarity attention mechanism is used to obtain the correlation matrix between the label and the word representation, and further ...