深度学习聊天机器人资源集合 Awesome chatbot resource list
At 2019-03-14 fate wrote in BLOG. 10600 viewer.Know a resource that isn't listed below? Feel free to create a new pull request, or open an issue.Seq2seq/chatbot/聊天机器人相关资源收集列表。
在原来的chatbot-links的基础上,添加了一些更多的中文资源而组建的一个List,主要用于个人收集。感兴趣,一起建设完善的资源列表,方便萌新入门,请发送PR或Issue添加更多资源,各层面不限,欢迎添加自己的作品。
Codes
chatbot-rnn
Framework tensorflow
A toy chatbot powered by deep learning and trained on data from Reddit.
> Hi, how are you?
I'm not the only one here that's having fun with you, it's all me.
> Who else is with you?
Haha. I'm not the one who made the comment. I'm the one who said that and didn't think that much of anything.
> Oh, I see. So what's new?
Nothing. I just thought it was a bit of an overreaction. It's been a while since I've read it.
> It's all good
It's all good. It's one of those things that makes me smile :)
> That's great. This is actually my demo chat, so it's nice that you're keeping things positive!
Thank you :)
DeepQA
Framework: Tensorflow Demo result:
Hi → Hi.
What is your name ? → Laura.
What does that mean ? → I dunno.
How old are you ? → thirty-five.
Who is Laura ? → My brother.
Say 'goodbye' → Alright.
Two plus two → manny...
tf_seq2seq_chatbot
Framework: Tensorflow
No answering randomisation is implemented in this code, so the models answers with the same phrase way each time: 未实现回答的是随机化,仅对模型的末尾加入了稀疏层。
hello baby → hello
how old are you ? → twenty .
i am lonely → i am not
nice → you ' re not going to be okay .
so rude → i ' m sorry .
are you a robot or human? → no .
are you better than siri? → yes .
machine translation model
Framework: Tensorflow
Google Official seq2seq implementation, attention included. Originlly for translation, can be used as Q/A; Google官方的seq2seq实现,采用了注意力机制(Luong et al., 2015),原本用于语言翻译,也适用于简单Q/A。