Showing 4 of 4 projects
A benchmarking platform for molecular generation models, providing datasets, implementations, and evaluation metrics for drug discovery research.
A junction tree variational autoencoder for generating valid molecular graphs with desired chemical properties.
A reinforcement learning framework for de novo drug design that generates novel molecular structures with desired properties.
A transformer-based model for unconditional and conditional molecular generation using GPT architecture trained on chemical datasets.
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