liang-hou

adcgan

[ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier

slimgan

[AAAI 2021] Slimmable Generative Adversarial Networks

ssgan-la

[NeurIPS 2021] Self-Supervised GANs with Label Augmentation

augself-gan

[NeurIPS 2023] Augmentation-Aware Self-Supervision for Data Efficient GAN Training

awesome-DGM-papers

awesome deep generative models papers

liang-hou.github.io

awesome-diffusion-models

A collection of resources on Diffusion Models.

benchmark_VAE

Unifying Generative Autoencoder implementations in Python

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

houliang.github.io

image-to-image

Image-to-Image Translation in PyTorch

InfoAdv

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective

liang-hou

moderncv

A modern curriculum vitae class for LaTeX

openbilibili-go-common

听说这是来自 https://github.com/openbilibili/go-common/ 的 “哔哩哔哩 bilibili 网站后台工程 源码”，不过咱也不知道这是啥。

p3_wgan

Code to reproduce results in the paper 'Three-Player Wasserstein GAN via Amortised Duality', IJCAI 2019.

python-code-snippets

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.47% on CIFAR10 with PyTorch

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

sdxl

simple-vimrc

stylegan3

Official PyTorch implementation of StyleGAN3

ucasthesis

LaTeX Thesis Template for the University of Chinese Academy of Sciences