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Training neural network potentials
Created
2021-04-09
1,293 commits to main branch, last one 18 days ago
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Created
2022-02-04
20 commits to main branch, last one 2 years ago
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
drugai
awesome
binding
paper-list
drug-design
awesome-list
deep-learning
bioinformatics
drug-discovery
generative-model
machine-learning
molecular-docking
optimal-transport
molecular-dynamics
protein-ligand-docking
ai-aided-drug-discovery
geometric-deep-learning
drug-protein-interactions
equivariant-representations
protein-protein-interaction
Created
2022-12-10
34 commits to main branch, last one about a year ago
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
Created
2022-04-25
16 commits to main branch, last one 8 months ago
Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)
Created
2023-10-05
27 commits to main branch, last one about a month ago
"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)
Created
2021-03-10
68 commits to main branch, last one about a year ago