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