Guillem96 / pointer-nn-pytorch
Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses attention as a pointer to select a member of the input sequence as the output.
☆42Updated 3 years ago
Related projects: ⓘ
- Implementation of Pointer Networks using PyTorch☆61Updated last year
- Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete …☆70Updated 2 years ago
- Pointer Networks Implementation in Keras☆152Updated 2 years ago
- Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"☆122Updated 2 years ago
- Implementation of Stochastic Beam Search using Fairseq☆96Updated 5 years ago
- Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning☆150Updated 6 years ago
- Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning☆54Updated 4 years ago
- Pytorch implementation of Pointer Network☆317Updated 5 years ago
- This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258…☆34Updated 5 years ago
- This repository provides simulator codes for predicting and tracking popular discussion threads on Reddit☆20Updated 8 years ago
- PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (…☆144Updated 5 years ago
- TensorFlow implementation of Pointer Networks, modified to use a threshold (or hardmax) pointer instead of a softmax pointer.☆40Updated 7 years ago
- Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to…☆179Updated last year
- ☆29Updated 6 years ago
- This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…☆55Updated 2 years ago
- Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sen…☆124Updated 2 years ago
- Deep Transfer Reinforcement Learning for Text Summarization☆42Updated 5 years ago
- Text generation using Variational Auto Encoders based on IMDB review dataset☆68Updated 3 years ago
- Reinforcement Learning Methods with PyTorch☆37Updated 4 years ago
- ☆28Updated 5 years ago
- This repository contains the code used for Ordered Memory paper☆29Updated 4 years ago
- Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis☆61Updated 7 years ago
- Sequence to Sequence Models in PyTorch☆44Updated last month
- Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning☆26Updated 5 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆148Updated 4 years ago
- Pointer Networks Implementation in Keras☆11Updated 7 years ago
- The source code for "An Actor Critic Algorithm for Structured Prediction"☆167Updated 7 years ago
- Contextual Bandits Action Elimination DQN☆19Updated 6 years ago
- Question Answering with Interactive Text (QAit), code for EMNLP 2019 paper "Interactive Language Learning by Question Answering"☆44Updated 5 years ago
- ☆120Updated 5 years ago