Discover aceimnorstuvwxz/awesome-chatbot-list Open Source project

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。

Neural-Dialogue-Generation

Framework: Torch 6.x Source code for a bunch of super nice articles by Jiwei Li - one of my favorite researches in the domain of neural conversational systems. Worth checking out.

tell me ... how long have you had this falling sickness ?       → a few months, I guess .
so i had the doctors test sammy ’s response to conditioning .   → so he took the pills .
what are you going to do ?                                      → i ’m going to get you a new car .
they fear your power your intellect .                           → i ’m not afraid of your power .

neuralconvo

Framework: Torch 7

最早的对《A Neural Conversational Model》的实现之一，当时给的Demo效果非常有意思。

Hello?					→ Hi.
How are you?			→ I'm fine.
What's your name?		→ It's hard to describe.
How so?					→ I'm not sure.
What color is the sky?	→ It's blue.
What is your job?		→ It's not that i'm a fucking werewolf!

chatbot-zh-torch7

Framework: Torch 7

从neuralconvo修改而来的，当时应该是第一个中文的RNN based chatbot DEMO。

Seq2seq_Chatbot_QA

Framework: Tensorflow 一个中文的Demo，说明比较详细，推荐。

result:

你到哪里去        →你不是说你不是我的
你喜欢我吗？      →我喜欢你
你吃了吗？        →我还没吃饭呢
你喜欢喝酒吗？     →我不知道
你说话没有逻辑啊   →没有

ChatterBot

Framework: python

看上去比较完整的一个项目，安装简单，说明比较完善，有提供训练的材料，英文为主。

Good morning! How are you doing?   →I am doing very well, thank you for asking.
You're welcome.                    →Do you like hats?

farizrahman4u/seq2seq

nicolas-ivanov/debug_seq2seq

codekansas/keras-language-modeling

Framework: keras

这几个都是seq2seq的实现，但是在Chatbot上面还没有好的demo result。

oswaldoludwig/Seq2seq-Chatbot-for-Keras

A new generative chatbot whose training converges in few epochs, including a model pre-trained on a small but consistent dataset collected from dialogues of English courses online.

这个采用了生成模型的方式，待补充。

    user:  Hello! How are you?
computer:  i am fine , ok , well , thank you  .  

    user:  What's your name?
computer:  janet .   

    user:  What do you like to do now?
computer:  let me think a minute .   

    user:  I want to chat about computer science.
computer:  i am glad to hear there .   

    user:  Are you a real girl or a computer program?
computer:  i am self employed . i would love to be well .   

    user:  Why don't you look for a job?
computer:  i do not know . i am the bank .   

    user:  So, you don't need a job!
computer:  no . i have to make a lot of money .