jind11/TextFooler
A Model for Natural Language Attack on Text Classification and Inference
使用BERT模型做文本分类;面向工业用途
$ git clone https://github.com/yaleimeng/TextClassify_with_BERT.gitA Model for Natural Language Attack on Text Classification and Inference
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
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
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Data from GitHub · snapshot Sep 24, 2026