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seq2seq_chatbot
lc222/seq2seq_chatbot
Python
基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs
325
98
attention-over-attention-tf-QA
lc222/attention-over-attention-tf-QA
Python
论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现
57
23
key-value-MemNN
lc222/key-value-MemNN
Python
“Key-Value Memory Networks for Directly Reading Documents”的tensorflow实现方案，使用的数据集是MovieQA
42
16