There are 3 repositories under memory-networks topic.
all kinds of text classification models and more with deep learning
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Aspect Based Sentiment Analysis using End-to-End Memory Networks
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
Re-implementation of Memory Networks (MemNN) paper of Facebook AI Research Lab.
Collaborative Memory Networks for Recommendation Systems, implementation in PyTorch
PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support.
Chapter 9: Attention and Memory Augmented Networks
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
Dynamic Dynamic Topic-Discourse Memory Networks (DTDMN)
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks (WWW-2020)
A minimal implementation of NTM with detailed explanation
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.
Repository for the paper "Graph Convolutional Networks for Traffic Forecasting with Missing Values" in DMKD'22
Given an aspect term in a sentence, predict the sentiment label for the aspect term
Key-Value Memory Networks in PyTorch
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
This repository contains materials and course projects during attending the Intelligent Systems Course, for more detailed information please have a look at my Final_Report files which have been separately uploaded for each of the projects and consist of all required information about the implementations, analyses, and anything else you may concern about that!
Pytorch implementation of "Tracking the World State with Recurrent Entity Networks"
One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
Recurrent Neural Networks and their fun little usage
Source code for the paper A Memory-Augmented Neural Model for Automated Grading
Repository containing implementation of Memory Networks neural net architecture (Predecessor of transformer architecture)