Pinned Repositories
Awesome-LongTailed-Learning-DSQ
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
CC-SAM
This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".
CVAE-GAN-zoos-PyTorch-Beginner
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
DomainBed-DSQ
DomainBed is a suite to test domain generalization algorithms
GAN-VAE
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Machine-Learning-Book
《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！
SAGM
The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
dsq12360's Repositories
dsq12360/GAN-VAE
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
dsq12360/Awesome-LongTailed-Learning-DSQ
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
dsq12360/CC-SAM
This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".
dsq12360/CVAE-GAN-zoos-PyTorch-Beginner
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
dsq12360/DeepNude-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
dsq12360/DomainBed-DSQ
DomainBed is a suite to test domain generalization algorithms
dsq12360/Machine-Learning-Book
《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！
dsq12360/SAGM
The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization