Projet de l'UE TC3 du M2AIC 2018-2018 sur le challenge bAbI
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Updated
Nov 16, 2018 - Python
Projet de l'UE TC3 du M2AIC 2018-2018 sur le challenge bAbI
a tutorial for Differentiable Neural Computer (DNC) in python3
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
differentiable neural computers
Question Answering for bAbi dataset
Question Answering on bAbI using a single RNN
Simplest end to end memory network implemented in tensorflow
Dockerfile for starting DMN with UI
EntNet
NLP project to implement a Deep Neural Question Answering System utilizing Knowledge Graphs and Wikipedia Corpus
End-To-End Memory Network using Tensorflow
Code for the paper "Improving Robustness of Dialog Systems in a Data-Efficient Way with Turn Dropout" by Igor Shalyminov and Sungjin Lee
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.
Quantized Memory-Augmented Neural Networks (AAAI-18)
PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support.
Question Dependent Recurrent Entity Network
Augmentation scripts for the bAbI Dialog Tasks dataset
Implementation of Supervised embedding models from [Learning End-to-End Goal-Oriented Dialog] paper.
Relation Memory Network
Dataset for 'Learning End-to-End Goal-Oriented Dialog with Multiple Answers' EMNLP 2018
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