Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
#自然语言处理#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
An simple pytorch implementation of Flash MultiHead Attention
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
Implementation of "Attention is All You Need" paper
Ring attention implementation with flash attention
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)
Fast and memory-efficient exact attention
some attention implements
#计算机科学#ResNeSt: Split-Attention Networks
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Large Context Attention
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
MoH: Multi-Head Attention as Mixture-of-Head Attention
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
list of efficient attention modules
Graph Attention Networks (https://arxiv.org/abs/1710.10903)