├── 001-BiLSTM实现文本分类.py ├── 002-卷积文本实现文本分类.py ├── 003-word2vec训练词向量.py ├── 004-fastText实现文本分类.py ├── 005-seq2seq机器翻译.py ├── 006-LDA+TFIDF+TextRank+LSI关键词提取.py ├── 007-分词-逆向最大匹配的实现.py ├── 008-用kmeans对豆瓣读书数据聚类.py ├── 009-doc2vec句向量的训练.py ├── 010-使用SRNN进行文本分类.py ├── 011-文本生成之训练毛泽东语录.py ├── 012-识别人名，地名等NER.py ├── 013-GRU+attention文本分类.py ├── 014-CNN+LSTM进行文本分类.py ├── 015-深层双向LSTM+HMM进行中文分词.py ├── 016-LSTM+Attention通过人名预测性别.py ├── 017-LSTM+Greedy实现英文单词纠错.py ├── 018-seq2seq实现对对联.py ├── 019-keras使用tensorboard可视化框架.py ├── 020-CNN之Seq2Seq实现英法翻译.py ├── 021-文章标题的自动生成.py ├── 022-keras进行序列数据的处理.py ├── 023-自动生成唐诗.py ├── 024-自编码器的实现.py ├── 025-VAE的实现.py ├── 026-天气预测.py ├── 027-风格迁移.py ├── 028-CNN+VAE生成古诗.py ├── 029-中文短文本情感分析.py ├── 030-卷积文本进行新闻分类.py ├── 031-自编码器进行图像去燥.py ├── 032-ResNet网络进行mnist识别.py ├── README.md ├── data ├── cmn.txt ├── corpus.txt ├── corpus_new.txt ├── female.txt ├── fra.txt ├── letters_source.txt ├── letters_target.txt ├── male.txt ├── news.txt ├── poetry.txt ├── stopwords.txt ├── test.tsv ├── train.tsv ├── validation.tsv └── 对联.txt ├── gensim实现word2vec.model └── images └── title_generate.png /001-BiLSTM实现文本分类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/001-BiLSTM实现文本分类.py -------------------------------------------------------------------------------- /002-卷积文本实现文本分类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/002-卷积文本实现文本分类.py -------------------------------------------------------------------------------- /003-word2vec训练词向量.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/003-word2vec训练词向量.py -------------------------------------------------------------------------------- /004-fastText实现文本分类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/004-fastText实现文本分类.py -------------------------------------------------------------------------------- /005-seq2seq机器翻译.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/005-seq2seq机器翻译.py -------------------------------------------------------------------------------- /006-LDA+TFIDF+TextRank+LSI关键词提取.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/006-LDA+TFIDF+TextRank+LSI关键词提取.py -------------------------------------------------------------------------------- /007-分词-逆向最大匹配的实现.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/007-分词-逆向最大匹配的实现.py -------------------------------------------------------------------------------- /008-用kmeans对豆瓣读书数据聚类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/008-用kmeans对豆瓣读书数据聚类.py -------------------------------------------------------------------------------- /009-doc2vec句向量的训练.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/009-doc2vec句向量的训练.py -------------------------------------------------------------------------------- /010-使用SRNN进行文本分类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/010-使用SRNN进行文本分类.py -------------------------------------------------------------------------------- /011-文本生成之训练毛泽东语录.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/011-文本生成之训练毛泽东语录.py -------------------------------------------------------------------------------- /012-识别人名，地名等NER.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/012-识别人名，地名等NER.py -------------------------------------------------------------------------------- /013-GRU+attention文本分类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/013-GRU+attention文本分类.py -------------------------------------------------------------------------------- /014-CNN+LSTM进行文本分类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/014-CNN+LSTM进行文本分类.py -------------------------------------------------------------------------------- /015-深层双向LSTM+HMM进行中文分词.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/015-深层双向LSTM+HMM进行中文分词.py -------------------------------------------------------------------------------- /016-LSTM+Attention通过人名预测性别.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/016-LSTM+Attention通过人名预测性别.py -------------------------------------------------------------------------------- /017-LSTM+Greedy实现英文单词纠错.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/017-LSTM+Greedy实现英文单词纠错.py -------------------------------------------------------------------------------- /018-seq2seq实现对对联.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/018-seq2seq实现对对联.py -------------------------------------------------------------------------------- /019-keras使用tensorboard可视化框架.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/019-keras使用tensorboard可视化框架.py -------------------------------------------------------------------------------- /020-CNN之Seq2Seq实现英法翻译.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/020-CNN之Seq2Seq实现英法翻译.py -------------------------------------------------------------------------------- /021-文章标题的自动生成.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/021-文章标题的自动生成.py -------------------------------------------------------------------------------- /022-keras进行序列数据的处理.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/022-keras进行序列数据的处理.py -------------------------------------------------------------------------------- /023-自动生成唐诗.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/023-自动生成唐诗.py -------------------------------------------------------------------------------- /024-自编码器的实现.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/024-自编码器的实现.py -------------------------------------------------------------------------------- /025-VAE的实现.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/025-VAE的实现.py -------------------------------------------------------------------------------- /026-天气预测.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/026-天气预测.py -------------------------------------------------------------------------------- /027-风格迁移.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/027-风格迁移.py -------------------------------------------------------------------------------- /028-CNN+VAE生成古诗.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/028-CNN+VAE生成古诗.py -------------------------------------------------------------------------------- /029-中文短文本情感分析.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/029-中文短文本情感分析.py -------------------------------------------------------------------------------- /030-卷积文本进行新闻分类.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/030-卷积文本进行新闻分类.py -------------------------------------------------------------------------------- /031-自编码器进行图像去燥.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/031-自编码器进行图像去燥.py -------------------------------------------------------------------------------- /032-ResNet网络进行mnist识别.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/032-ResNet网络进行mnist识别.py -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/README.md -------------------------------------------------------------------------------- /data/cmn.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/cmn.txt -------------------------------------------------------------------------------- /data/corpus.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/corpus.txt -------------------------------------------------------------------------------- /data/corpus_new.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/corpus_new.txt -------------------------------------------------------------------------------- /data/female.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/female.txt -------------------------------------------------------------------------------- /data/fra.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/fra.txt -------------------------------------------------------------------------------- /data/letters_source.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/letters_source.txt -------------------------------------------------------------------------------- /data/letters_target.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/letters_target.txt -------------------------------------------------------------------------------- /data/male.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/male.txt -------------------------------------------------------------------------------- /data/news.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/news.txt -------------------------------------------------------------------------------- /data/poetry.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/poetry.txt -------------------------------------------------------------------------------- /data/stopwords.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/stopwords.txt -------------------------------------------------------------------------------- /data/test.tsv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/test.tsv -------------------------------------------------------------------------------- /data/train.tsv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/train.tsv -------------------------------------------------------------------------------- /data/validation.tsv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/validation.tsv -------------------------------------------------------------------------------- /data/对联.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/data/对联.txt -------------------------------------------------------------------------------- /gensim实现word2vec.model: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/gensim实现word2vec.model -------------------------------------------------------------------------------- /images/title_generate.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shawroad/NLP-Project/HEAD/images/title_generate.png --------------------------------------------------------------------------------