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ai challenger 2018细粒度情感分类第一名解决方案,统一使用tensorflow和pytorch的一个框架

Python 44.51% Shell 29.94% Jupyter Notebook 25.55%

wenzheng's Introduction

wenzheng

Deep learning related projects using tf(eager), pytorch(fastai,allenlp) for contests like aichallenger, kaggle

ai challenger 2018 细粒度用户评论情感分类第一名(后厂村静静团队)解决方案

wenzheng/project/ai2018/sentiment[https://github.com/chenghuige/wenzheng/tree/master/projects/ai2018/sentiment]

ai challenger 2018 阅读理解解决方案(a榜 21 基于港科大rnet,mreader)

wenzheng/project/ai2018/reader[https://github.com/chenghuige/wenzheng/tree/master/projects/ai2018/reader]

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