Showing 4 of 4 projects
A collection of cheminformatics and machine-learning software for molecular informatics, written in C++ with Python wrappers.
A machine learning package implementing message passing neural networks for predicting molecular and reaction properties.
A sequence-to-sequence transformer model for predicting chemical reaction pathways (retrosynthesis) with uncertainty calibration.
A reinforcement learning framework for de novo drug design that generates novel molecular structures with desired properties.
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