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mem_absa icon mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

midi.js icon midi.js

:musical_keyboard: Making life easy to create a MIDI-app on the web. Includes a library to program synesthesia into your app for memory recognition or for creating trippy effects. Convert soundfonts for Guitar, Bass, Drums, ect. into code that can be read by the browser. Supports multiple simultaneous instruments and perfect timing.

mywine icon mywine

this is an app which is uesd for recording the choose and the alarmclock for the user

nlg-eval icon nlg-eval

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

nlp_xiaojiang icon nlp_xiaojiang

自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用

nlper-arsenal icon nlper-arsenal

收录NLP相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中

nltk icon nltk

present the nltk_data,because the nltk.download() is too slow

openne icon openne

An Open-Source Package for Network Embedding (NE)

opennmt-py icon opennmt-py

Open Source Neural Machine Translation in PyTorch

opennmt-tf icon opennmt-tf

Neural machine translation and sequence learning using TensorFlow

photinia icon photinia

Build deep learning models quickly for scientists in an object-oriented way.

pmi icon pmi

PMI, 是互信息(NMI)中的一种特例, 而互信息,是源于信息论中的一个概念,主要用于衡量2个信号的关联程度.至于PMI,是在文本处理中,用于计算两个词语之间的关联程度.比起传统的相似度计算, pmi的好处在于,从统计的角度发现词语共现的情况来分析出词语间是否存在语义相关 , 或者主题相关的情况.

pointer_summarizer icon pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

pte2asc icon pte2asc

word embedding resources for sentiment classification

pycharm_project icon pycharm_project

这个repository包含了我研一阶段写过的python项目的程序

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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