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This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)
A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization. (Nature CommsChem)
Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2023 (https://www.nature.com/articles/s42256-023-00759-6)
Variational Autoencoder for Molecules
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
๐ Progressive microservices framework for Go - based and compatible with https://github.com/moleculerjs/moleculer
๐ Official API Gateway service for Moleculer framework
Unsupervised diverse image generation via GANs: Partition Guided Mixture of Generative Adversarial Networks
The official PyTorch implementation of PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecule Generation.