Implementation of Kronecker Attention in Pytorch

Last update: May 06, 2022

Overview

Kronecker Attention Pytorch

Implementation of Kronecker Attention in Pytorch. Results look less than stellar, but if someone found some context where this architecture works well, please post in the issues and let everyone know.

Install

$ pip install kronecker_attention_pytorch

Usage

import torch
from kronecker_attention_pytorch import KroneckerSelfAttention

attn = KroneckerSelfAttention(
    chan = 32,
    heads = 8,
    dim_heads = 64
)

x = torch.randn(1, 32, 256, 512)
attn(x) # (1, 32, 256, 512)

Citations

@article{Gao_2020,
   title={Kronecker Attention Networks},
   url={http://dx.doi.org/10.1145/3394486.3403065},
   journal={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining},
   publisher={ACM},
   author={Gao, Hongyang and Wang, Zhengyang and Ji, Shuiwang},
   year={2020},
   month={Aug}
}

You might also like...

Attention-driven Robot Manipulation (ARM) which includes Q-attention

Attention-driven Robotic Manipulation (ARM) This codebase is home to: Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation I

84 Dec 29, 2022

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

LESA Introduction This repository contains the official implementation of Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Cont

20 Dec 31, 2021

Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

Lie Transformer - Pytorch (wip) Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch. Only the SE3 version will be present in thi

78 Oct 26, 2022

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch.

SE3 Transformer - Pytorch Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. May be needed for replicating Alphafold2 resu

207 Dec 23, 2022

Implementation of TabTransformer, attention network for tabular data, in Pytorch

Tab Transformer Implementation of Tab Transformer, attention network for tabular data, in Pytorch. This simple architecture came within a hair's bread

420 Jan 5, 2023

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Perceiver - Pytorch Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch Install $ pip install perceiver-pytorch Usage

876 Dec 29, 2022

Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

PyTorch Implementation of Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers 1 Using Colab Please notic

489 Jan 7, 2023

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

TimeSformer This is an official pytorch implementation of Is Space-Time Attention All You Need for Video Understanding?. In this repository, we provid

1k Dec 31, 2022

An implementation demo of the ICLR 2021 paper Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks in PyTorch.

Neural Attention Distillation This is an implementation demo of the ICLR 2021 paper Neural Attention Distillation: Erasing Backdoor Triggers from Deep

84 Jan 4, 2023

Releases(0.0.5)

0.0.5(Sep 12, 2020)

Source code(tar.gz)
Source code(zip)
0.0.4(Aug 29, 2020)

Source code(tar.gz)
Source code(zip)
0.0.3(Aug 27, 2020)

Source code(tar.gz)
Source code(zip)
0.0.2(Aug 27, 2020)

Source code(tar.gz)
Source code(zip)
0.0.1(Aug 27, 2020)

Source code(tar.gz)
Source code(zip)

Owner

Phil Wang

Working with Attention. It's all we need

GitHub Repository

Hough Transform and Hough Line Transform Using OpenCV

Hough transform is a feature extraction method for detecting simple shapes such as circles, lines, etc in an image. Hough Transform and Hough Line Transform is implemented in OpenCV with two methods;

3 Feb 15, 2022

Semantic segmentation models, datasets and losses implemented in PyTorch.

Semantic Segmentation in PyTorch Semantic Segmentation in PyTorch Requirements Main Features Models Datasets Losses Learning rate schedulers Data augm

1.3k Jan 07, 2023

Deep Networks with Recurrent Layer Aggregation

RLA-Net: Recurrent Layer Aggregation Recurrence along Depth: Deep Networks with Recurrent Layer Aggregation This is an implementation of RLA-Net (acce

21 Aug 16, 2022

[UNMAINTAINED] Automated machine learning for analytics & production

auto_ml Automated machine learning for production and analytics Installation pip install auto_ml Getting started from auto_ml import Predictor from au

1.6k Jan 02, 2023

Code for the paper Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations (AKBC 2021).

Relation Prediction as an Auxiliary Training Objective for Knowledge Base Completion This repo provides the code for the paper Relation Prediction as

85 Jan 02, 2023

Display, filter and search log messages in your terminal

Textualog Display, filter and search logging messages in the terminal. This project is powered by rich and textual. Some of the ideas and code in this

24 Dec 10, 2022

Compressed Video Action Recognition

Compressed Video Action Recognition Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl. In CVPR, 2018. [Proj

479 Dec 26, 2022

nfelo: a power ranking, prediction, and betting model for the NFL

nfelo nfelo is a power ranking, prediction, and betting model for the NFL. Nfelo take's 538's Elo framework and further adapts it for the NFL, hence t

6 Nov 22, 2022

EmoTag helps you train emotion detection model for Chinese audios

emoTag emoTag helps you train emotion detection model for Chinese audios. Environment pip install -r requirement.txt Data We used Emotional Speech Dat

4 Sep 07, 2022

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

The goal of Project CodeNet is to provide the AI-for-Code research community with a large scale, diverse, and high quality curated dataset to drive innovation in AI techniques.

1.2k Jan 04, 2023

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode

1.4k Jan 01, 2023

ICS 4u HD project, start before-wards. A curtain shooting game using python.

Touhou-Star-Salvation HDCH ICS 4u HD project, start before-wards. A curtain shooting game using python and pygame. By Jason Li For arts and gameplay,

15 Dec 22, 2022

Yolov3 pytorch implementation

YOLOV3 Pytorch实现在bubbliiing大佬代码的基础上进行了修改，添加了部分注释。预训练模型预训练模型来源于bubbliiing。链接：https://pan.baidu.com/s/1ncREw6Na9ycZptdxiVMApw 提取码：appk 训练自己的数据集按照VO

4 Aug 27, 2022

Tensorflow 2 Object Detection API kurulumu, GPU desteği, custom model hazırlama

Tensorflow 2 Object Detection API Bu tutorial, TensorFlow 2.x'in kararlı sürümü olan TensorFlow 2.3'ye yöneliktir. Bu, görüntülerde / videoda nesne a

46 Nov 20, 2022

Starter code for the ICCV 2021 paper, 'Detecting Invisible People'

Detecting Invisible People [ICCV 2021 Paper] [Website] Tarasha Khurana, Achal Dave, Deva Ramanan Introduction This repository contains code for Detect

28 Sep 16, 2022

[CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration"

MDCA Calibration This is the official PyTorch implementation for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved

21 Dec 22, 2022