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Downstream part of the collaborative Meet-U project, for protein structure prediction.
Deep convolutional networks for fold recognition
Atomic interaction potentials based on artificial neural networks
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.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
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.
A curated list of community detection research papers with implementations.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
:metal: awesome-semantic-segmentation
Associative memory, Water mediated, Structure and Energy Model (AWSEM) protein simulation code
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
Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Chemical Property Prediction with Graph Convolutional Networks
Repository for the Template-free Modelling project of CMP_SC 8170 - Computational Modelling of Molecular Structures
Collective variables module for molecular simulation and analysis programs
Dual Attention Network for Scene Segmentation (CVPR2019)
Prediction of protein contact map
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read about deep learning and related.
DEEPCON: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout
Fully convolutional neural networks for protein residue-residue contact prediction
Deep convolutional neural networks for protein model quality assessment
Protein-ligand binding sites prediction toolkits
Learning structural motif representations for efficient protein structure search
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.