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-python-gensim-lda- icon -python-gensim-lda-

基于python gensim 库的LDA算法 对中文进行文本分析,很难得,网上都是英文的,基本上没有中文的,需要安装jieba分词进行分词,然后去除停用词最后才能使用LDA

bazi icon bazi

python八字排盘软件。清晰看出冲刑合会、阴阳等关系,并有凝聚大师多年经验的评判。另有合婚、风水等功能。

bert icon bert

TensorFlow code and pre-trained models for BERT

chatbot icon chatbot

一个可以自己进行训练的聊天机器人, 可以根据自己的语料,训练出自己想要的对话机器人

chatglm-6b icon chatglm-6b

ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

china-icd-10 icon china-icd-10

3位代码类目表;6位扩展代码表;疾病分类与代码(修订版);章节名称及代码

chinese-text-classification icon chinese-text-classification

Chinese-Text-Classification,Tensorflow CNN(卷积神经网络)实现的中文文本分类。QQ群:522785813,微信群二维码:http://www.tensorflownews.com/

entity-linking icon entity-linking

Entity Linking,识别给定文本中出现的命名实体(Named Entity),并映射到特定的知识库中唯一的实体。包括命名实体识别、消歧等工作。

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

keras-textclassification icon keras-textclassification

中文长文本分类、短句子分类(Chinese Text Classification of Keras NLP, 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, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, ENT, DMN,

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

ltp icon ltp

Language Technology Platform

network-analysis-of-game-of-thrones icon network-analysis-of-game-of-thrones

Network Analysis is the study of relationships and dependencies between objects . I will use Directed Acyclic Graphs to plot the relationships in R.The project document including complete steps is included here--

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

paddlenlp icon paddlenlp

👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.

paperedge icon paperedge

The code and the DIW dataset for "Learning From Documents in the Wild to Improve Document Unwarping" (SIGGRAPH 2022)

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