Stars
A trusty face analysis research platform developed by Tencent Youtu Lab
Official mirror of torchjpeg. Please do not open PRs here, they will be ignored. Go to the gitlab repository to contribute.
DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)
[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
A paper list of some recent Transformer-based CV works.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
Image-to-Image Translation in PyTorch
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
VDSR (CVPR2016) pytorch implementation
A playbook for systematically maximizing the performance of deep learning models.
A pure python module which implements the DES and Triple-DES encryption algorithms.
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
⭐️一款好用又强大的开源社区，基于 Spring Boot、MyBatis-Plus、MySQL、Redis、ElasticSearch、MongoDB、Docker、RabbitMQ 等主流技术栈，附详细教程，包括Java、Spring、MySQL、Redis、微服务&分布式、消息队列等核心知识点。学编程，就上技术派😁。
PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 8…
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
An official code release of the paper RGB no more: Minimally Decoded JPEG Vision Transformers