seq2seq chatbot links

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

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Keras

farizrahman4u/seq2seq

The most popular implementation of Seq2seq archintecture 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.

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Lasagne

nicolas-ivanov/lasagne_seq2seq

The model manages to learn language on syntactical level:

what do you think about bill gates ?         →  you ' re not a little man , baby . .
what happens if machines can think ?         →  i ' m going to be a lot of your wife
what is the greatest novel every written ?   →  what are you doing ?
have you hurt anyone ?                       →  i can ' t believe it .

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Torch

macournoyer/neuralconvo

Probably 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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Tensorflow

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.

skflow/neural_translation_word.py

Give it a try.

Corpora

AlJohri/OpenSubtitles

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

Papers

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