Zhuzhu Wei (jinzhuwei)

jinzhuwei

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Location:China

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Zhuzhu Wei's repositories

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

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AI2BMD

AI-powered ab initio biomolecular dynamics simulation

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AIRS

Artificial Intelligence for Science (AIRS)

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Awesome-Hypergraph-Network

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

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se3_diffusion

Implementation for SE(3) diffusion model with application to protein backbone generation arxiv.org/abs/2302.02277

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awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

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bio-diffusion

A PyTorch hub of denoising diffusion probabilistic models designed to generate novel biological data

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chemprop

Message Passing Neural Networks for Molecule Property Prediction

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chroma

A generative model for programmable protein design

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DIFFormer

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

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DIG

A library for graph deep learning research

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dyMEAN

This repo contains the codes for our paper "End-to-End Full-Atom Antibody Design"

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equiformer

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

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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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equiformer_v2

[arXiv'23] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

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FABind

FABind: Fast and Accurate Protein-Ligand Binding (NIPS 2023)

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foldseek

Foldseek enables fast and sensitive comparisons of large structure sets.

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graphchem

Graph-based machine learning for chemical property prediction

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Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

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LLM4Mol

A comprehensive repository dedicated to the collection and exploration of studies utilizing Large Language Models for molecular design, protein research, and material science.

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MolCA

Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".

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ProteinWorkshop

Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities.

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pytorch_geometric

Graph Neural Network Library for PyTorch

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SGGRL

The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".

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TransAntivirus

Transformer-based molecular generative model for antiviral drug design

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