differentiable neural computers

Simplest end to end memory network implemented in tensorflow

Projet de l'UE TC3 du M2AIC 2018-2018 sur le challenge bAbI

Dockerfile for starting DMN with UI

NLP project to implement a Deep Neural Question Answering System utilizing Knowledge Graphs and Wikipedia Corpus

End-To-End Memory Network using Tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

a tutorial for Differentiable Neural Computer (DNC) in python3

Question Answering for bAbi dataset

EntNet

Question Answering on bAbI using a single RNN

Quantized Memory-Augmented Neural Networks (AAAI-18)

Relation Memory Network

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.

Augmentation scripts for the bAbI Dialog Tasks dataset

PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support.

Question Dependent Recurrent Entity Network

Dataset for 'Learning End-to-End Goal-Oriented Dialog with Multiple Answers' EMNLP 2018

Implementation of Supervised embedding models from [Learning End-to-End Goal-Oriented Dialog] paper.