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awesome_lightweight_networks icon awesome_lightweight_networks

一些常见的轻量化网络的pytorch实现。The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐

biggan-pytorch icon biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

focal-loss-pytorch icon focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

ganet icon ganet

A Keypoint-based Global Association Network for Lane Detection. Accepted by CVPR 2022

gfocalv2 icon gfocalv2

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

model-compression icon model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))

multiyolov5 icon multiyolov5

joint detection and semantic segmentation, based on ultralytics/yolov5,

nanodet icon nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

pix2pix-pytorch icon pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pytorch-slimming icon pytorch-slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

repvgg icon repvgg

RepVGG: Making VGG-style ConvNets Great Again

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