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matchzoo-py

Facilitating the design, comparison and sharing of deep text matching models.

metalearning4nlp-papers

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

nlp-project

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

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

paddlenlp

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

python-lda

lda模型的python实现

qa-matching

利用lstm和lstm/cnn进行答案问题匹配

qa_lstm_cnn

recommend-estimators

Classical RecSys algorithms implemented by using TensorFlow Estimators

sentence-compression

Large corpus of uncompressed and compressed sentences from news articles.

sentencesimilarity

The enhanced RCNN model used for sentence similarity classification

seq2seq

a simple seq2seq demo by tensorflow

seq2seq-1

A general-purpose encoder-decoder framework for Tensorflow

seq2seq-demo

spamemail

speechrecognition

ASR中文语音识别

starspace

Learning embeddings for classification, retrieval and ranking.

summarization

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

text-similarity

Text-Similarity Method in Pytorch

text_analysis_tools

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词）

textclassifier_transformer

个人基于谷歌开源的BERT编写的文本分类器（基于微调方式），可自由加载NLP领域知名的预训练语言模型BERT、Bert-wwm、Roberta、ALBert以及ERNIE1.0

textcnn-and-bert-based-text-classification

该项目是在英文数据集上，分别使用textcnn模型和BERT模型进行分类。比较效果

tf-serve

Serve TensforFlow Estimator with SavedModel

tf_repos

TensorFlow Script

transformer-in-generating-dialogue

An Implementation of 'Attention is all you need' with Chinese Corpus

unit-dmkit

webdataminingproject

垃圾短信自动识别的代码，使用了adaboost、决策树、感知机、svm、lr等机器学习算法

wide-and-deep