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twinbooster


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Author: None
License: MIT License Copyright (c) 2024 Maximilian Schuh Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to ...
Summary: Python package for TwinBooster: Synergising Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug Discovery
Latest version: 0.3.1
Required dependencies: configspace | datasets | joblib | jupyterlab | lightgbm | matplotlib | numpy | optuna | pandas | pathlib | pynvml | rdkit | scikit-learn | scipy | smac | torch | tqdm | transformers

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