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This is a Tensorflow implementation of the End-to-End Memory Network applied to the Ubuntu Dialog Corpus. The model can be compared to a LSTM and a DSSM, both available within the implementation.
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Dec 19, 2016
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This is a Tensorflow implementation of the End-to-End Memory Network applied to Sequential Modelling of Facebook comments.
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Dec 19, 2016
Python
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Jan 26, 2017
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"End-To-End Memory Networks" in Tensorflow
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Mar 14, 2017
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Simplest end to end memory network implemented in tensorflow
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Apr 20, 2017
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Knowledge Base Question Answering using memory networks
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May 8, 2017
Python
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Jun 15, 2017
Python
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Jun 16, 2017
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The implementation of the key-value memory network in Python/TensorFlow
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Jul 7, 2017
Python
This is a repository that has my work on Memory Networks using various libraries
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Jul 17, 2017
Python
Implementation of Dynamic Memory Networks for QA System using Tensorflow
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Jan 12, 2018
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End-To-End Memory Network using Tensorflow
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Jan 16, 2018
Python
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Feb 1, 2018
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Practicing memory networks with easy examples
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Mar 5, 2018
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Mar 11, 2018
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Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
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Mar 13, 2018
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Implementation of a MemN2N model for question answering tasks
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Apr 8, 2018
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Apr 14, 2018
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Neural Network with external Cognitive Neural Memory (2018)
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Apr 15, 2018
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Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
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Apr 25, 2018
Python
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