lazysunny

lazysunny's Stars

• mufei111/iMPT-FDNPL

  Function: NLP (domain) multi-tag identification of membrane protein types. According to the data set S1 in UniProt database (release 2012_09) and protein2ipr.txt in InterPro database, the IPR word vector corresponding to the protein is obtained. , The random k-label set (RAKEL) algorithm is used to construct a multi-label classifier, and the random forest is used as the basic algorithm. Construct a multi-label classifier NLP (domain)-NRAKEL. Through strict ten-fold cross-validation, the accuracy and exact matching degree of the classifier are both higher than 0.85. It greatly proves the superiority of our model and improves the accuracy of membrane protein identification.

  Language:Python1

• docmirror/dev-sidecar

  开发者边车，github打不开，github加速，git clone加速，git release下载加速，stackoverflow加速

  Language:JavaScript15.5k1.8k

• apachecn/lightgbm-doc-zh

  LightGBM 中文文档

  Language:JavaScript753170

• hexiangnan/neural_collaborative_filtering

  Neural Collaborative Filtering

  Language:Python1.8k654

• milkcoffee365/ML_kNN

  Language:Python21

• dhruvramani/C2AE-Multilabel-Classification

  Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

  Language:Python10124

• NobodyWHU/MultiLabelClassification

  对电影进行多标签标注

  Language:Python195

• erogol/KLP_KMEANS

  Very fast Clustering with Kohonen Learning Procedure KMEANS based on NUMPY, SCIPY or THEANO

  Language:Python3912

• DeepSpace2/StyleFrame

  A library that wraps pandas and openpyxl and allows easy styling of dataframes in excel

  Language:Python37354

• cartopy/ConvMF

  Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

  Language:Python284128

• vladsandulescu/topics

  Topic modeling with gensim and LDA

  Language:Python16860

• fxsjy/jieba

  结巴中文分词

  Language:Python33.3k6.7k

• Azure-rong/Review-Helpfulness-Prediction

  Project of automatically detecting review helpfulness. Using

  Language:Python146157

• codelucas/yelpcrawl

  Crawl and scrape Yelp's restaurant data for every zip code in the United States (or a specified zipcode). Yelp Crawler.

  Language:Python5441

• fearofchou/ALMM

  Language:Python265