all kinds of text classification models and more with deep learning
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Updated
Sep 28, 2023 - Python
all kinds of text classification models and more with deep learning
End-To-End Memory Network using Tensorflow
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
Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"
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
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
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.
Chapter 9: Attention and Memory Augmented Networks
Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
A Keras implementation of end-2-end memory networks https://arxiv.org/pdf/1503.08895.pdf
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
BossNet: Disentangling Language and Knowledge in Task Oriented Dialogs
Pytorch implementation of "Tracking the World State with Recurrent Entity Networks"
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