wanlei452229

wanlei452229's Stars

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.3k3263252.6k

• brightmart/text_classification

  all kinds of text classification models and more with deep learning

  Language:Python7.9k2991242.6k

• Jiakui/awesome-bert

  bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

  1.9k6810347

• brightmart/sentiment_analysis_fine_grain

  Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

  Language:Jupyter Notebook5922911161

• Eilene/spatio-temporal-paper-list

  Spatio-temporal modeling 论文列表（主要是graph convolution相关)

  524399120

• Illumina/PrimateAI

  deep residual neural network for classifying the pathogenicity of missense mutations.

  Language:Python11325630

• zhanghaicang/DeepFolding

  Protein contacts prediction using deep learning models

  Language:Python775240

• duolinwang/MusiteDeep

  MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend (the Keras2.0 and Tensorflow backend implementation were also provided under folder MusiteDeep_Keras2.0). At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.

  Language:Python4761017

• realbigws/DeepAlign

  DeepAlign: the protein structure analysis toolkit

  Language:Objective-C35248

• peace195/multitask-learning-protein-prediction

  Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

  Language:Python25207

• ApoorvRusia/Naive-Bayes-classification-on-Iris-dataset

  Using Naive Bayes classification approach to identify the different species of Iris flowers.

  Language:Jupyter Notebook210029

• wendao/CAGE-Prox

  Computer aided proximal decaging as a universal strategy for temporal protein activation

  Language:Python21018

• takatex/protein-secondary-structure-prediction

  PyTorch implementations of protein secondary structure prediction on CB513.

  Language:Python16115

• iosonofabio/seqanpy

  Fast pairwise sequence alignment using SeqAn, in Python.

  Language:C++13417

• Deepomatic/regression-char-level-cnn-tf

  Language:Python9402

• nadimintikrish/protein_lstm

  Protein sequence Classification using RNNs and CNNs (1D)

  Language:Jupyter Notebook7114

• parthasm/Naive-Bayes-Document-Classifier

  Document Classification in python and C++ with help from the Natural Language Toolkit, using Multinomial and Bernoulli Naive Bayes Classifiers and experimenting with various feature selectors.

  Language:Python79

• feizhihui/Protein-Sequence-Labeling

  Using DCRNN to address the task of protein-sequence-labeling

  Language:Python5410

• guoyanb/JBCB2018

  Language:Python51

• s1998/protein-family-classification

  Implementation of BRNN based DL model for protein family classification.

  Language:Python5301

• mlayeghi/rnn-protein-classifier

  TensorFlow RNN model for protein classification

  Language:Python41

• reubenng/proteinpredict

  Secondary protein structure

  Language:Python3100

• BlakeTrebelhorn/Dota2Learning

  My attempt at some machine learning on Dota 2 data.

  Language:Jupyter Notebook2100

• m3g/DCAXL

  Protein structure prediction using DCA and XL constraints with structure based models

  Language:Python2203

• mlayeghi/cnn-protein-classification

  Language:Python20

• abhishek9691/Protein-Secondary-Structure-Prediction-Using-Machine-Learning

  Language:Java1

• alecheckert/idrScan

  Calculate intrinsic disorder scores on a by-exon basis

  Language:Python1121

• ComputBiophys/MCP_Predictor

  A deep learning-based predictor for membrane contact probability (MCP)

  Language:Python1100

• ediz12/datamining_homework2

  Predict the age of abalone from physical measurements using classification, training and validation sets

  Language:Python11

• rgacesa/HHCompare

  HHCompare, HMM based protein Hierarchical clustering

  Language:Python1100