End-To-End Memory Network using Tensorflow

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

A Keras implementation of end-2-end memory networks https://arxiv.org/pdf/1503.08895.pdf

Aspect Based Sentiment Analysis using End-to-End Memory Networks

“Key-Value Memory Networks for Directly Reading Documents”的tensorflow实现方案，使用的数据集是MovieQA

Key value memory network implemented using keras

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH

Given an aspect term in a sentence, predict the sentiment label for the aspect term

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

Pytorch implementation of "Tracking the World State with Recurrent Entity Networks"

An implementation of Memory Networks Model (MNM) for protein-protein extraction task

Chapter 9: Attention and Memory Augmented Networks

Collaborative Memory Networks for Recommendation Systems, implementation in PyTorch

Source code for the paper A Memory-Augmented Neural Model for Automated Grading

Source code for the paper A Memory-Augmented Neural Model for Automated Grading

An implementation of Factoid Question Answering presented in Large-scale Simple Question Answering with Memory Networks