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100-days-of-ml-code

100-Days-Of-ML-Code中文版

agca

The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

batch-channel-normalization

biformer

[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

bridge-attention

The code for the paper 'BA-Net: Bridge Attention for Deep Convolutional Neural Networks'

cbl-conditional-boundary-loss

The official implementation of IEEE-TIP paper under review

cswin-transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

cts-segmenter

Content-aware Token Sharing applied to Segmenter

dbfnet

[TIP 2022] Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images

deep-learning-for-image-processing

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

dota_devkit

dota-yolo格式

dpf

esam

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fan

Official PyTorch implementation of Fully Attentional Networks

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

feddg-elcfs

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

flatten-transformer

Official repository of FLatten Transformer (ICCV2023)

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

gpvit

[ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

ham

Hybrid attention module

hat

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

hrvit

HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

large-separable-kernel-attention

lawin

code based on maskformer

mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark