aidd-msca/aidd-codebase
Public version of the AIDD consortium code base
This is a specialized toolkit for researchers and computational chemists developing deep learning models for drug discovery. It streamlines the creation and training of neural networks by providing pre-built modules for handling chemical data, defining model architectures, and managing the training process. Researchers working on identifying new drug candidates or understanding molecular interactions would use this to accelerate their experiments.
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Use this if you are a drug discovery scientist or computational chemist building deep learning models in PyTorch-Lightning and need a structured framework to manage your data, models, and training.
Not ideal if you are not working in drug discovery or prefer a different deep learning framework than PyTorch-Lightning.
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Mar 25, 2025
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