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Title: GitHub - heyuhere/DeepChatModels: Conversation models in TensorFlow.

Open Graph Title: GitHub - heyuhere/DeepChatModels: Conversation models in TensorFlow.

X Title: GitHub - heyuhere/DeepChatModels: Conversation models in TensorFlow.

Description: Conversation models in TensorFlow. Contribute to heyuhere/DeepChatModels development by creating an account on GitHub.

Open Graph Description: Conversation models in TensorFlow. Contribute to heyuhere/DeepChatModels development by creating an account on GitHub.

X Description: Conversation models in TensorFlow. Contribute to heyuhere/DeepChatModels development by creating an account on GitHub.

Opengraph URL: https://github.com/heyuhere/DeepChatModels

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MIT licensehttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#conversation-models-in-tensorflow
here on my MEGA accounthttps://mega.nz/#F!xrRTwSzY!by9K42n_I_oi5T_DKP-xTA
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#table-of-contents
Project Overviewhttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#brief-overview-of-completed-work
Datasetshttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#datasets
Modelshttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#models
Websitehttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#website
Model Componentshttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#model-components
Input Pipelinehttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#the-input-pipeline
Reference Materialhttps://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#reference-material
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#project-overview
Kerashttps://keras.io/
TensorFlowhttps://www.tensorflow.org/
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#datasets
Ubuntu Dialogue Corpushttps://arxiv.org/pdf/1506.08909.pdf
Cornell Movie-Dialogshttps://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html
this preprocessedhttps://github.com/suriyadeepan/datasets/tree/master/seq2seq/cornell_movie_corpus
Reddit commentshttps://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#models
this TensorFlow tutorialhttps://www.tensorflow.org/tutorials/seq2seq
noteshttp://mckinziebrandon.me/assets/pdf/CondensedSummaries.pdf
noteshttp://mckinziebrandon.me/assets/pdf/CondensedSummaries.pdf
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#website
views.pyhttps://github.com/mckinziebrandon/DeepChatModels/blob/master/webpage/deepchat/main/views.py
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#model-components
https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#the-input-pipeline
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https://patch-diff.githubusercontent.com/heyuhere/DeepChatModels#reference-material
my deep learning notes herehttp://mckinziebrandon.me/assets/pdf/CondensedSummaries.pdf
Sequence to Sequence Learning with Neural Networks. Sutskever et al., 2014.https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
On Using Very Large Target Vocabulary for Neural Machine Translation. Jean et al., 2014.https://arxiv.org/pdf/1412.2007.pdf
Neural Machine Translation by Jointly Learning to Align and Translate. Bahdanau et al., 2016https://arxiv.org/pdf/1409.0473.pdf
Effective Approaches to Attention-based Neural Machine Translation. Luong et al., 2015https://arxiv.org/pdf/1508.04025.pdf
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Code for "Massive Exploration of Neural Machine Translation Architectures"https://github.com/google/seq2seq
Tensorflow r1.0 APIhttps://www.tensorflow.org/api_docs/
deepchatmodels.appspot.com/https://deepchatmodels.appspot.com/
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