seq2seq_chatbot_links下載 - seq2seq_chatbot

seq2seq_chatbot_links

Ai源碼

1.0.0

下載

seq2seq 聊天機器人鏈接

不同框架的神經會話模型實現的連結。歡迎貢獻。

西亞諾，烤寬麵條

Lukalabs/cakechat

能夠在文本對話中表達情感的對話系統。請參閱線上演示。

中性情緒的範例結果：

 hi                                → hey you
how are you ?                     → i ' m fine , what about you ?
how old are you ?                 → i ' m 16 , how old are you ?
are you a leader or a follower ?  → i ' m a man who is a politician .
my name is david . what is my name ?    → i love your name .
is the sky blue or black ?        → the sky is blue
you love anime .                  → i ' m not a weeb

張量流

Conchylicultor/DeepQA

不錯的結果：

 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...

尼古拉斯-伊凡諾夫/tf_seq2seq_chatbot

修改機器翻譯模型的程式碼。此程式碼中沒有實現答案隨機化，因此模型每次都以相同的短語方式回答：

 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 .

火炬

jiweil/神經對話生成

Jiwei Li 撰寫的一系列超級好文章的源代碼 - 這是我在神經會話系統領域最喜歡的研究之一。值得一看。

 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 .

馬庫諾耶/neuralconvo

 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!

喀拉斯

法裡茲拉赫曼4u/seq2seq

GitHub 上最受歡迎的 Seq2seq 架構實作。然而，仍然沒有證據表明此存儲庫取得了良好的結果。

尼古拉斯-伊万諾夫/debug_seq2seq

用於運行實驗的 farizrahman4u/seq2seq 的包裝器。到目前為止還沒有取得好的結果。

Codekansas/keras 語言建模

需要檢查一下。

oswaldoludwig/Seq2seq-Chatbot-for-Keras

一種新的生成聊天機器人，其訓練在幾個時期內收斂，包括在從線上英語課程對話中收集的小型但一致的資料集上進行預訓練的模型。

 user: Hello! How are you?
computer:  i am fine , ok , well , thank you  .    (with probability of 0.540239)
user: What's your name?
computer:  janet .     (with probability of 0.319482)
user:  What do you like to do now?
computer:  let me think a minute .     (with probability of 0.286760)
user: I want to chat about computer science.
computer:  i am glad to hear there .     (with probability of 0.293063)
user: Are you a real girl or a computer program?
computer:  i am self employed . i would love to be well .     (with probability of 0.026870)
user: Why don't you look for a job?
computer:  i do not know . i am the bank .     (with probability of 0.053494)
user: So, you don't need a job!
computer:  no . i have to make a lot of money .     (with probability of 0.001279)