SA-Net: Shuffle Attention for Deep Convolutional Neural Networks (paper)
By Qing-Long Zhang and Yu-Bin Yang
[State Key Laboratory for Novel Software Technology at Nanjing University]
Approach
Figure 1: The Diagram of a shuffle attention module.
Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
Overview
A pure PyTorch implementation of the loss described in "Online Segment to Segment Neural Transduction"
ssnt-loss ℹ️ This is a WIP project. the implementation is still being tested. A pure PyTorch implementation of the loss described in "Online Segment t
1 Feb 09, 2022
Data and analysis code for an MS on SK VOC genomes phenotyping/neutralisation assays
Description Summary of phylogenomic methods and analyses used in "Immunogenicity of convalescent and vaccinated sera against clinical isolates of ance
1 Jan 06, 2022
RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation RL-GAN is an official implementation of the paper: T
42 Nov 10, 2022
Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
Multiplicative Filter Networks This repository contains a PyTorch MFN implementation and code to perform & reproduce experiments from the ICLR 2021 pa
66 Jan 04, 2023
Algorithmic trading with deep learning experiments
Deep-Trading Algorithmic trading with deep learning experiments. Now released part one - simple time series forecasting. I plan to implement more soph
1.4k Jan 02, 2023
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021) An efficient PyTorch library for Point Cloud Completion.
119 Jan 02, 2023
Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)
A Unified Objective for Novel Class Discovery This is the official repository for the paper: A Unified Objective for Novel Class Discovery Enrico Fini
118 Dec 26, 2022
iBOT: Image BERT Pre-Training with Online Tokenizer
Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.
435 Jan 06, 2023
A framework to train language models to learn invariant representations.
Invariant Language Modeling Implementation of the training for invariant language models. Motivation Modern pretrained language models are critical co
6 Nov 16, 2022
Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
Open Compound Domain Adaptation [Project] [Paper] [Demo] [Blog] Overview Open Compound Domain Adaptation (OCDA) is the author's re-implementation of t
137 Dec 15, 2022
Source code for paper "Deep Diffusion Models for Robust Channel Estimation", TBA.
diffusion-channels Source code for paper "Deep Diffusion Models for Robust Channel Estimation". Generic flow: Use 'matlab/main.mat' to generate traini
15 Dec 22, 2022
RealFormer-Pytorch Implementation of RealFormer using pytorch
RealFormer-Pytorch Implementation of RealFormer using pytorch. Includes comparison with classical Transformer on image classification task (ViT) wrt C
90 Dec 08, 2022
Learning Features with Parameter-Free Layers (ICLR 2022)
Learning Features with Parameter-Free Layers (ICLR 2022) Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo | Paper NAVER AI Lab, NAVER CLOVA Up
65 Dec 07, 2022
Implementation of Artificial Neural Network Algorithm
Artificial Neural Network This repository contain implementation of Artificial Neural Network Algorithm in several programming languanges and framewor
1 Sep 14, 2022
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision This code is deprecated. Please see https://github.com/jiwoon-ahn/irn instead. Int
337 Dec 15, 2022
MISSFormer: An Effective Medical Image Segmentation Transformer
MISSFormer Code for paper "MISSFormer: An Effective Medical Image Segmentation Transformer". Please read our preprint at the following link: paper_add
22 Dec 24, 2022
Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
MLJAR Automated Machine Learning Documentation: https://supervised.mljar.com/ Source Code: https://github.com/mljar/mljar-supervised Table of Contents
2.4k Dec 31, 2022
The code is an implementation of Feedback Convolutional Neural Network for Visual Localization and Segmentation.
Feedback Convolutional Neural Network for Visual Localization and Segmentation The code is an implementation of Feedback Convolutional Neural Network
19 Dec 04, 2022
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption
⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor
21 Dec 22, 2022
AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning
SimSR Code and dataset for the paper SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning (AAAI-22). Requirements We assum
7 Dec 19, 2022