There are 4 repositories under pointer-networks topic.
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
TensorFlow implementation of "Pointer Networks"
Pointer Networks Implementation in Keras
"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
ACL 2019论文复现:Improving Multi-turn Dialogue Modelling with Utterance ReWriter
利用指针网络进行信息抽取,包含命名实体识别、关系抽取、事件抽取。
Sorting numbers with pointer networks
[CVPR 2022] Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
Probabilistic Type Inference using Graph Neural Networks
An implementation of "Pointer Networks" in Tensorflow
Sequence to Sequence Models in PyTorch
Neural Models for Key Phrase Detection and Question Generation
[arXiv prepreint] Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
A Seq2Seq with attention and copy mechanism for sentence summarization
pytorch version of code completion with neural attention and pointer networks
An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
Implementation of Transformer Pointer-Critic Deep Reinforcement Learning Algorithm
Learning to sort numbers using a LSTM with a modified attention mechanism (Pointer Networks by Vinyals et al.).
Pointer network for extractive summarization
Pointer networks 指针网络解决旅行商问题,基于tensorflow2。附带文章详解与代码注释。
Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).
TensorFlow implementation of "Pointer Networks"
Pointer Networks to Sort shuffled sequences (numbers, words, stories)
An unofficial implementation of pointer networks.
papers and codes for text summarization research see readme for more details
Attention Mechanism in Sequence-to-Sequence learning and Pointer Neural Nets to extract the attributes of an gun violence events from news reports.
Sequence 2 Sequence with Attention Mechanisms in Tensorflow v2
Sequence to sequence (seq2seq) using RNN with attention mechanism in pytorch
RNN to select the best jet in a sequence
Pointer Networks Using Fast Weights: Novel Architecture
Learning to Auto-Complete using RNN Language Models
https://arxiv.org/abs/2107.01759
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"