Repository containing implementation of Memory Networks neural net architecture (Predecessor of transformer architecture)
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Updated
Oct 28, 2023 - Python
Repository containing implementation of Memory Networks neural net architecture (Predecessor of transformer architecture)
Source code for the paper A Memory-Augmented Neural Model for Automated Grading
Recurrent Neural Networks and their fun little usage
One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
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 conce…
Pytorch implementation of "Tracking the World State with Recurrent Entity Networks"
A Keras implementation of end-2-end memory networks https://arxiv.org/pdf/1503.08895.pdf
An implementation of Memory Networks Model (MNM) for protein-protein extraction task
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Given an aspect term in a sentence, predict the sentiment label for the aspect term
Key-Value Memory Networks in PyTorch
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.
A minimal implementation of NTM with detailed explanation
Repository for the paper "Graph Convolutional Networks for Traffic Forecasting with Missing Values" in DMKD'22
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks (WWW-2020)
Dynamic Dynamic Topic-Discourse Memory Networks (DTDMN)
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
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