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A TensorFlow-based Transformer model for predicting reactant molecules in retrosynthesis. This repository includes comprehensive tutorials for beginners to learn neural networks and TensorFlow, enabling users to build and understand advanced sequence-to-sequence models in computational chemistry.
RetroExplainer: A chemical knowledge and deep-leaning guided molecular assembly approach for retrosynthesis prediction with quantitative interpretability