[{"title":"( 13 个子文件 40.91MB ) Sentences_Pair_Similarity_Calculation_Siamese_LSTM:基于注意力的暹罗曼哈顿LSTM的Keras实现","children":[{"title":"Sentences_Pair_Similarity_Calculation_Siamese_LSTM-master","children":[{"title":"data","children":[{"title":"stopwords.txt <span style='color:#111;'> 13.04KB </span>","children":null,"spread":false},{"title":"atec_train_segmented.csv <span style='color:#111;'> 3.75MB </span>","children":null,"spread":false},{"title":"atec_train_nonsegmented.csv <span style='color:#111;'> 3.15MB </span>","children":null,"spread":false},{"title":"quora_train_segmented.csv.zip <span style='color:#111;'> 17.25MB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 291B </span>","children":null,"spread":false},{"title":"quora_train.csv.zip <span style='color:#111;'> 21.17MB </span>","children":null,"spread":false}],"spread":true},{"title":"train.py <span style='color:#111;'> 6.90KB </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"util.py <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false},{"title":"【参考博客】在英文数据集上实现基于Siamese_LSTM网络的句对相似度计算.pdf <span style='color:#111;'> 671.40KB </span>","children":null,"spread":false},{"title":"word2vec.py <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"score.py <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.45KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]