A Brutal Torch Implement for Skip-Thought Vectors with Multi-Layer Supported
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Updated
Apr 27, 2016 - Lua
A Brutal Torch Implement for Skip-Thought Vectors with Multi-Layer Supported
An LSTM network, to generate dialogues from the character's of popular T.V show F.R.I.E.N.D.S.. Example includes partially trained model that generates text like Ross Geller
Sanskrit Segmentation using Beam Search and Seq2Seq model
Sequence-to-sequence model with attention using Torch
Build conversation Seq2Seq models with TensorFlow
Deep sentence embedding using Sequence to Sequence learning
Tensorflow seq2seq chatbot in python
Open Domain Dialogue System based on seq2seq
Creating a seq2seq dataset from OpenSubtitles data
[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq
enhance seq2seq model for open ended dialog generation
Learning to reverse words in sentence using Seq2Seq. (Last problem in ud730)
A neural network based chatbot
Using seq2seq model to generate chinese couplet.
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