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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

smarthealth

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