seq2seq_chatbot

lc222

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

tensorflow

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325 Stars

98 Forks

325 Watchers

Python Language

Cost to Build

$158.8K

Market Value

$346.5K

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2023-03-01

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What is the lc222/seq2seq_chatbot GitHub project? Description: "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". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone seq2seq_chatbot

Clone via HTTPS

git clone https://github.com/lc222/seq2seq_chatbot.git

Clone via SSH

[email protected]:lc222/seq2seq_chatbot.git

Download ZIP

Download master.zip

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