Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
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Updated
Dec 29, 2016 - Python
Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
The implementation of key value memory networks in tensorflow
Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)
Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)
Deep Recurrent Neural Nets in Java
Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
TensorFlow implementation of 'Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015)'
Dataset for 'Learning End-to-End Goal-Oriented Dialog with Multiple Answers' EMNLP 2018
Relation Memory Network
Implementation of Supervised embedding models from [Learning End-to-End Goal-Oriented Dialog] paper.
Question Dependent Recurrent Entity Network
Augmentation scripts for the bAbI Dialog Tasks dataset
PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support.
Quantized Memory-Augmented Neural Networks (AAAI-18)
Code for Limbacher, T., Özdenizci, O., & Legenstein, R. (2022). Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. arXiv preprint arXiv:2205.11276.
Code for the paper "Improving Robustness of Dialog Systems in a Data-Efficient Way with Turn Dropout" by Igor Shalyminov and Sungjin Lee
EntNet
NLP project to implement a Deep Neural Question Answering System utilizing Knowledge Graphs and Wikipedia Corpus
End-To-End Memory Network using Tensorflow
Simplest end to end memory network implemented in tensorflow
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