417 Open source projects that are alternatives of or similar to Guided Attention Inference Network

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Train and visualize Hierarchical Attention Networks

一些不同的Attention机制代码

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My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

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An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

A Structured Self-attentive Sentence Embedding

End-to-end ASR/LM implementation with PyTorch

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Attention mechanism

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Keras Implementation of Aspect based Sentiment Analysis

a collection of visualization function

An implementation of Performer, a linear attention-based transformer, in Pytorch

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

Deep-Learning based CTR models implemented by PyTorch

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Predict materials properties using only the composition information!

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Pointer-generator reinforced seq2seq summarization in PyTorch

A Tensorfflow implementation of Attend, Infer, Repeat

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Frame-Recurrent Video Super-Resolution (official repository)

CVPR 2018: Structure Inference Net for Object Detection

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Important paper implementations for Question Answering using PyTorch

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Hierarchical Attentive Recurrent Tracking

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Image Captions Generation with Spatial and Channel-wise Attention

Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"

attention based joint model for intent detection and slot filling

Fully featured implementation of Routing Transformer

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Julia Implementation of Transformer models

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

A bidirectional LSTM with attention for multiclass/multilabel text classification.

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Attention-guided CNN for image denoising(Neural Networks,2020)

Implementation of the Point Transformer layer, in Pytorch

Sparse and structured neural attention mechanisms

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

attention-based LSTM/Dense implemented by Keras

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"