TensorFlow code and pre-trained models for BERT

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

An Efficient ProxyPool with Getter, Tester and Server

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Code for "Learning to Generate Reviews and Discovering Sentiment"

Samples for users of the Yelp Academic Dataset

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

复杂网络中的社区发现算法

Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.

Out-of-Town Recommendation with Travel Intention Modeling (AAAI2021)

Curriculum Meta-Learning for Next POI Recommendation

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)