"End-To-End Memory Networks" in Tensorflow
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Updated
Mar 14, 2017 - Python
"End-To-End Memory Networks" in Tensorflow
This repo contains implementation of different architectures for emotion recognition in conversations
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
The implementation of key value memory networks in tensorflow
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
Knowledge Base Question Answering using memory networks
Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
A Pytorch tutorial for implementation of Dynamic memory Network Plus
Hopfield neural networks in Go
The source codes of Working Memory model for Chinese poetry generation (IJCAI 2018).
An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
Relation Memory Network
Implement deep memory network used for Aspect Level Sentiment Classification
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.
Code for ACL 2018 paper 'Think Visually: Question Answering through Virtual Imagery'
Neural Network with external Cognitive Neural Memory (2018)
Code implementation of paper Semantic Role Labeling with Associated Memory Network (NAACL 2019)
Alpha-Mine v.1.0. an Artificial Intelligence ChatBot with general purpose... from wisdom to jokes 'See the README for more information'.
End-To-End Memory Network using Tensorflow
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
The implementation of the key-value memory network in Python/TensorFlow
Used Tensorflow and Keras Framework
PyPi Package of Self Organizing Recurrent Neural Networks
Scene generation from novel viewpoints - Graph element networks
This is a repository that has my work on Memory Networks using various libraries
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I'm trying to rebuild your data, and noticed in the ALL.dict.xml (which, as I understand, contains all of the lemmas, glosses and word senses used in all the semeval data), you have entries such as the following: