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alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

bert_use

BERT模型的分类使用

ccnn

initial submit

cnn-text-classification

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

convmf

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

cs224d

Deep Learning for Natural Language Processing

cw_word_embedding

Word embedding training code for《Natural Language Processing (Almost) from Scratch》 by Ronan Collobert and Jason Weston.

hello-world

just a test.

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

nlpfromscratch-tf

Tensorflow implementation of NLP From Scratch (https://arxiv.org/abs/1103.0398)

nre

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

re_ex

reco

a simple yet versatile recommendation systems library in python | Docs ->

rnn_lyrics

Use RNN to train and generate lyrics of Jay Chou

scrapy-examples

Multifarious Scrapy examples.

sentiment-analysis

Chinese Shopping Reviews sentiment analysis

sim-shootout

Code for "Performance shootout between nearest-neighbour libraries": http://radimrehurek.com/2013/11/performance-shootout-of-nearest-neighbours-intro

ssan-self-attention-sentiment-analysis-classification

Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers - paper's code for the 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis - help in conjuction with EMNLP 2018

tensorflow-demo

demos using TensorFlow

test

Just a test for github desk

test1

This is a test for github for windows

vor-knowledge-graph

:mortar_board: Open knowledge mining and graph builder

word2vec

Multiple version of word2vec. https://code.google.com/p/word2vec/