Generative Models by Stability AI
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
翻译 - 生成模型的集合，例如GAN，Pytorch和Tensorflow中的VAE。
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
Collection of generative models in Tensorflow
翻译 - Tensorflow中生成模型的集合
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
翻译 - Tensorflow 2中许多生成模型的实现。GAN，VAE，Seq2Seq，VAEGAN，GAIA，频谱图反演。一切都包含在jupyter笔记本中，可轻松导出到colab。
SD.Next: Advanced Implementation Generative Image Models
Collection of generative models in Pytorch version.
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Generative models for conditional audio generation
Emu Series: Generative Multimodal Models from BAAI
Generative models on NAVER Webtoon faces
ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Deep generative models for semi-supervised learning.
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important ...
MultiGPU enabled image generative models (GAN and DCGAN)
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
翻译 - PULSE：通过生成模型的潜在空间探索进行自我监督的照片上采样
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
