MQ Liu's starred repositories

MMseqs2

MMseqs2: ultra fast and sensitive search and clustering suite

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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.

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GET

This repo contains the codes for our paper "Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning" (ICML 2024).

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DEM

Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

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EigenFold

EigenFold: Generative Protein Structure Prediction with Diffusion Models

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SurfDock

SurfDock is a Surface-Informed Diffusion Generative Model for Reliable and Accurate Protein-ligand Complex Prediction

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awesome-BioMolFold

RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding

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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

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masif

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

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AlphaPPImd

Exploring the conformational ensembles of protein-protein complexes with transformer-based generative neural networks

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neurips19-graph-protein-design

Generative Models for Graph-Based Protein Design

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gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

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ProteinMPNN

Code for the ProteinMPNN paper

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geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

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Geometry-Deep-Learning-for-Drug-Discovery

Geometry Deep Learning for Drug Discovery and Life Science

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CGIP

A simple and effective Contrastive Graph-Image Pre-training framework for molecular representation learning (BIB 2023)

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DiffDock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

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MDAnalysisData

Access to data for workshops and extended tests of MDAnalysis.

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transformer

Transformer: PyTorch Implementation of "Attention Is All You Need"

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equiformer-pytorch

Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding

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ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

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equiformer

[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

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p2rank

P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

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TankBind

Open source code for TankBind. Galixir Tenchnologies

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