all kinds of text classification models and more with deep learning

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

End-To-End Memory Network using Tensorflow

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

Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"

Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)

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

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

“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

Official repository of the "Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning" (ACM MM 2023)

Re-implementation of Memory Networks (MemNN) paper of Facebook AI Research Lab.

BossNet: Disentangling Language and Knowledge in Task Oriented Dialogs

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

Collaborative Memory Networks for Recommendation Systems, implementation in PyTorch

Chapter 9: Attention and Memory Augmented Networks

Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks

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

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

Dynamic Dynamic Topic-Discourse Memory Networks (DTDMN)