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boyuezhong's Projects

3dcnn_mqa icon 3dcnn_mqa

Deep convolutional networks for fold recognition

aenet icon aenet

Atomic interaction potentials based on artificial neural networks

angularqa icon angularqa

AngularQA is a single-model quality assessment tool to evaluate quality of predicted protein structures. It is built on a new representation that converts raw atom information into a series of carbon-alpha (Cα) atoms with side-chain information, defined by their dihedral angles and bond lengths to the prior residue. An LSTM network is used to predict the quality by treating each amino acid as a time-step and consider the final value returned by the LSTM cells.

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

attngan icon attngan

Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks by Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He.

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awsemmd icon awsemmd

Associative memory, Water mediated, Structure and Energy Model (AWSEM) protein simulation code

bert-utils icon bert-utils

一行代码使用BERT生成句向量,BERT做文本分类、文本相似度计算

ccmpred icon ccmpred

Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.

chemprop icon chemprop

Chemical Property Prediction with Graph Convolutional Networks

cmms-tfm-project icon cmms-tfm-project

Repository for the Template-free Modelling project of CMP_SC 8170 - Computational Modelling of Molecular Structures

colvars icon colvars

Collective variables module for molecular simulation and analysis programs

danet icon danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deep2read icon deep2read

https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read about deep learning and related.

deepcon icon deepcon

DEEPCON: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout

deepcov icon deepcov

Fully convolutional neural networks for protein residue-residue contact prediction

deepcovqa icon deepcovqa

Deep convolutional neural networks for protein model quality assessment

deepfold icon deepfold

Learning structural motif representations for efficient protein structure search

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