bityangke/seq2seq_chatbot_links

Links to the implementations of neural conversational models for different frameworks

seq2seq chatbot links

Links to the implementations of neural conversational models for different frameworks. Contributions are welcomed.

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Tensorflow

Conchylicultor/DeepQA

Awesomely nice results:

Hi			            	→ Hi.
What is your name ?			→ Laura.
What does that mean ?		→ I dunno.
How old are you ?			→ thirty-five.

Along with the decent ones:

Who is Laura ?				→ My brother.
Say 'goodbye'				→ Alright.
Two plus two				→ manny...

nicolas-ivanov/tf_seq2seq_chatbot

Modified code of machine translation model. No answering randomisation is implemented in this code, so the models answers with the same phrase way each time:

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 .

inikdom/neural-chatbot

No good results so far.

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Torch

macournoyer/neuralconvo

One of the best results currently achieved with an open-sourced Seq2seq implementation:

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!

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Keras

farizrahman4u/seq2seq

The most popular implementation of Seq2seq architecture on GitHub. However, there is still no evidence of getting good results with this repo.

nicolas-ivanov/debug_seq2seq

A wrapper for farizrahman4u/seq2seq used for running experiments. No good results were achieved so far.

codekansas/keras-language-modeling

Need to check this up.

Corpora

AlJohri/OpenSubtitles

Get a lot of raw movie subtitles (~1.2Gb)

Cornell Movie-Dialogs Corpus

~ 40Mb after clearing out the technical data.

Papers

• [1] Sequence to Sequence Learning with Neural Networks
• [2] A Neural Conversational Model