pwwq0909 Goto Github PK

bert

TensorFlow code and pre-trained models for BERT

biliobs

btm

Code for Biterm Topic Model (published in WWW 2013)

burstybtm

Code for Bursty Biterm Topic Model (published in AAAI2015)

characters

中文停用词/常用汉字/生僻字集合

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese-word2vec

word2vec/glove/swivel binary file on chinese corpus

classifier_multi_label

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

classifier_multi_label_textcnn

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

corpus_process_script

chinese and english corpus process script, python, c++, java

cw2vec

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

deep-qa

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

gensim

Topic Modelling for Humans

iir

Machine Learning / Natural Language Processing / Information Retrieval

insuranceqa-cnn-lstm

tensorflow and theano cnn code for insurance QA(question Answer matching)

kcws

Deep Learning Chinese Word Segment

keras-language-modeling

Some language modeling tools for Keras

keyword_extraction

利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

models

Models built with TensorFlow

nlp-project

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

pinduoduo_backdoor_demo

pinduoduo backdoor

python-topic-model

Implementation of various topic models

qa

A Chinese Question and Answer System

qa-topic-model

topic modeling with gensim

question_answering_system

A small question answering system identifying sematical similarities between FAQ's

questionchooser

chooses the best Q-A pairs for a query using semantic and vector similarity