Deep learning for molecule generation with optimal properties
Organization around DeepMolGen project between The Netherlands eScience center and Van 't Hoff Institute for Molecular Sciences (HIMS) UvA.
Deep learning for molecule generation with optimal properties
Organization around DeepMolGen project between The Netherlands eScience center and Van 't Hoff Institute for Molecular Sciences (HIMS) UvA.
Forked from luisaforozco/e3_diffusion_for_molecules
Jupyter Notebook
Forked from arneschneuing/DiffSBDD
A Euclidean diffusion model for structure-based drug design.
Python
Forked from gcorso/torsional-diffusion
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
Python
Forked from atomistic-machine-learning/cG-SchNet
cG-SchNet - a conditional generative neural network for 3d molecular structures
Python
Forked from guanjq/targetdiff
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Python
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
A Euclidean diffusion model for structure-based drug design.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Geometric Latent Diffusion Models for 3D Molecule Generation
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
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