End-To-End Memory Network using Tensorflow
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Updated
Jan 16, 2018 - Python
End-To-End Memory Network using Tensorflow
A TensorFlow implementation of "Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory" (published in CIKM2017).
Covering Advanced Topics in Deep Learning for Natural Language Processing.
This is a Tensorflow implementation of the End-to-End Memory Network applied to Sequential Modelling of Facebook comments.
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
This is a repository that has my work on Memory Networks using various libraries
Files from NLP Project
Code implementation of paper Semantic Role Labeling with Associated Memory Network (NAACL 2019)
PyTorch implementation of ICLR 2022 paper Generative Pseudo-Inverse Memory
Simplest end to end memory network implemented in tensorflow
Implementation of a MemN2N model for question answering tasks
This is my implementation of minimum memory network using pytorch
Used Tensorflow and Keras Framework
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