This repository aggregates academic papers and resources on applying deep learning to molecular design and drug discovery. It covers generative models including GANs, VAEs, diffusion models, and graph neural networks applied to tasks such as molecular optimization, structure-based design, and material discovery. The list is organized by model type and application area.