xyaozi's starred repositories
kmeans-anchor-boxes
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
deeplabv3plus-pytorch
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
mobilenetv2_deeplabv3_pytorch
Try to implement deeplab v3+ on pytorch according to offical demo.
DetNet_pytorch
An implementation of DetNet: A Backbone network for Object Detection.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
KD_methods_with_TF
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
SSD_mobilenetv2-with-Focal-loss
this repo is forked from https://github.com/amdegroot/ssd.pytorch. Implemented by pytorch
pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
pytorch-ssim
pytorch structural similarity (SSIM) loss
pytorch_classification
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
dcgan_vae_pytorch
dcgan combined with vae in pytorch!
vovnet-detectron2
[CVPR 2020] VoVNet backbone networks for detectron2
CenterMask
[CVPR 2020] CenterMask : Real-Time Anchor-Free Instance Segmentation
eng-practices
Google's Engineering Practices documentation
pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
pytorch-beginner
pytorch tutorial for beginners
pytorch-autoencoders
Implementation of autoencoders in PyTorch
pytorch-AutoEncoders
Autoencoders in PyTorch
pytorch-AE
Autoencoders in PyTorch
AutoEncoders
Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
cnn_autoencoder_mnist
CNN auto-encoder on mnist.