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BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
兜哥出品 <一本开源的NLP入门书籍>
Pre-trained word vectors of 30+ languages
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
A fast, efficient universal vector embedding utility package.
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
一个生产级、高性能、模块化、可扩展的中文NLP工具包。(中文分词、平均感知机、fastText、拼音、新词发现、分词纠错、BM25、人名识别、命名实体、自定义词典)
Compute Sentence Embeddings Fast!
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Implementation of State-of-the-art Text Classification Models in Pytorch