MQ Liu's starred repositories
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
awesome-BioMolFold
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
awesome-AI4MolConformation-MD
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
AlphaPPImd
Exploring the conformational ensembles of protein-protein complexes with transformer-based generative neural networks
neurips19-graph-protein-design
Generative Models for Graph-Based Protein Design
gvp-pytorch
Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
ProteinMPNN
Code for the ProteinMPNN paper
geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Geometry-Deep-Learning-for-Drug-Discovery
Geometry Deep Learning for Drug Discovery and Life Science
MDAnalysisData
Access to data for workshops and extended tests of MDAnalysis.
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
equiformer-pytorch
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
equiformer
[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs