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徐罡's Projects

cnn-lstm-ctc icon cnn-lstm-ctc

An implementation of LSTM and CTC to recognize simple english sentence image

hh-suite icon hh-suite

Remote protein homology detection suite.

opus_csf icon opus_csf

OPUS-CSF: A C-atom-based scoring function for ranking protein structural models

opus_fold icon opus_fold

OPUS-Fold: An Open-Source Protein Folding Framework Based on Torsion-Angle Sampling

opus_fold3 icon opus_fold3

OPUS-Fold3: a gradient-based protein all-atom folding and docking framework on TensorFlow

opus_mut icon opus_mut

OPUS-Mut: Studying the Effect of Protein Mutation and protein-protein interaction through Side-Chain Modeling

opus_refine icon opus_refine

OPUS-Refine: A Fast Sampling-based Framework for Refining Protein Backbone Torsion Angles and Global Conformation

opus_rota2 icon opus_rota2

OPUS-Rota2: An Improved Fast and Accurate Side-chain Modeling Method

opus_rota3 icon opus_rota3

OPUS-Rota3: Improving Protein Side-Chain Modeling by Deep Neural Networks and Ensemble Methods

opus_rota4 icon opus_rota4

OPUS-Rota4: A Gradient-Based Protein Side-Chain Modeling Framework Assisted by Deep Learning-Based Predictors

opus_rota5 icon opus_rota5

OPUS-Rota5: A Highly Accurate Protein Side-chain Modeling Method with 3D-Unet and RotaFormer

opus_tass icon opus_tass

OPUS-TASS: A Protein Backbone Torsion Angles and Secondary Structure Predictor Based on Ensemble Neural Networks

opus_x icon opus_x

OPUS-X: An Open-Source Toolkit for Protein Torsion Angles, Secondary Structure, Solvent Accessibility, Contact Map Predictions, and 3D Folding

punctuator2 icon punctuator2

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

pydca icon pydca

Direct coupling analysis software for protein and RNA sequences

qqspider icon qqspider

QQ 爬 虫 ,抓取一个QQ号的所有群信息

seq2seq icon seq2seq

theano implementation of sequence to sequence learning using LSTM

spn.pytorch icon spn.pytorch

PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.

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