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
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.
Repository for the paper "Graph Convolutional Networks for Traffic Forecasting with Missing Values" in DMKD'22
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