AX7Z020B board is widely used in security monitoring, automotive electronics, machine vision, intelligent manufacturing, video and audio acquisition and processing, medical equipment, instrumentati…

前后一体化博客系统

嵌入式，计算机常用电子书籍整理，并且附带下载链接，涵盖：ARM体系与架构，C/C++语言，汇编语言，操作系统，计算机网络，计算组成原理，Linux驱动，Linux内核，单片机开发，程序员认知成长，笔试面试技巧等书籍。长期更新中，欢迎star~

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

SwinIR: Image Restoration Using Swin Transformer (official repository)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Code release for ConvNeXt V2 model

Code release for ConvNeXt model

deep learning for image processing including classification and object-detection etc.

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

Mamba SSM architecture

This is an official pytorch implementation of Fast Fourier Convolution.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A memory-efficient implementation of DenseNets

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Pytorch implement: Residual Dense Network for Image Super-Resolution

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

A latent text-to-image diffusion model

pytorch code of multi scale 1d resnet, we hope it will help your research

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Kolmogorov Arnold Networks

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

ResNeSt: Split-Attention Networks

Pytorch implementation of ResUnet and ResUnet ++