Qiyu Zhang's repositories
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
awesome-attention-mechanism-in-cv
:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
class_selectivity_index
On the importance of single directions for generalization(Morcos et al, ICLR 2018)
dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
imgclsmob
Sandbox for training deep learning networks
label-smoothing-visualization-pytorch
When Does Label Smoothing Help?_pytorch_implementationimp
NATS-Bench
TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
PathLevel-EAS
Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
Python-100-Days
Python - 100天从新手到大师
pytorch-cifar
95.47% on CIFAR10 with PyTorch
pytorch-cifar-models
Pretrained models on CIFAR10/100 in PyTorch
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
SE_DenseNet
This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.
senet.pytorch
PyTorch implementation of SENet
torch-toolbox
🛠 Toolbox to extend PyTorch functionalities
vision
Datasets, Transforms and Models specific to Computer Vision
yolov5_research
improvement research based on yolov5,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C