
TorchDrug helps researchers build and run drug discovery models with machine learning. It leverages graph neural networks and deep generative models on PyTorch for rapid prototyping. As an open-source platform, it offers a flexible interface, scalable training and inference, and supports property prediction and molecule design. Target users are machine learning practitioners and research teams in biotech seeking accessible tools. The project aims to democratize drug discovery by enabling collaborative, scalable experimentation within the PyTorch ecosystem.

TorchDrug helps researchers build and run drug discovery models with machine learning. It leverages graph neural networks and deep generative models on PyTorch for rapid prototyping. As an open-source platform, it offers a flexible interface, scalable training and inference, and supports property prediction and molecule design. Target users are machine learning practitioners and research teams in biotech seeking accessible tools. The project aims to democratize drug discovery by enabling collaborative, scalable experimentation within the PyTorch ecosystem.