Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
PyTorch Implementation of Stepwise Monotonic Multihead Attention similar to Enhancing Monotonicity for Robust Autoregressive Transformer TTS
Attention-based multihead model for optimized aircraft engine remaining useful life prediction
Multihead Attention for PyTorch
This repo contains implementation of the paper "Acoustic Scene Analysis With Multihead Self Attention" by Weimin Wang, Weiran Wang, Ming Sun, Chao Wang from Amazon Alexa team
list of efficient attention modules
翻译 - 有效关注模块列表
Batch MultiHead Graph Attention Pytorch
All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Classification with backbone Resnet and attentions: SE-Channel Attention, BAM - (Spatial Attention, Channel Attention, Joint Attention), CBAM - (Spatial Attention, Channel Attention, Joint Attention)
Ring attention implementation with flash attention
some attention implements
翻译 - 一些注意工具
#计算机科学#ResNeSt: Split-Attention Networks
翻译 - ResNeSt：注意力分散网络
Fast and memory-efficient exact attention
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
[CVPR 2023] Neighborhood Attention Transformer and [arXiv] Dilated Neighborhood Attention Transformer repository.
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
Visual Attention based OCR
External Attention Network
Code for paper "Attention on Attention for Image Captioning". ICCV 2019
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
LSTM-Attention
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+r...
Keras Attention Layer (Luong and Bahdanau scores).