Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Deepnude An Image To Image Technology | 3,404 | 4 years ago | Python | |||||||
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。 | ||||||||||
Pycadl | 355 | 1 | 4 years ago | 11 | March 06, 2018 | 4 | other | Python | ||
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow" | ||||||||||
Generative_models_tutorial_with_demo | 268 | 5 years ago | Jupyter Notebook | |||||||
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc.. | ||||||||||
Pytorch_cpp | 215 | 10 months ago | 5 | mit | C++ | |||||
Deep Learning sample programs using PyTorch in C++ | ||||||||||
Cvae Gan Zoos Pytorch Beginner | 116 | 4 years ago | Python | |||||||
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. | ||||||||||
Dcgan_vae_torch | 110 | 7 years ago | Lua | |||||||
An implementation of the deep convolutional generative adversarial network, combined with a varational autoencoder | ||||||||||
Dcgan_vae_pytorch | 91 | 6 years ago | bsd-3-clause | Python | ||||||
dcgan combined with vae in pytorch! | ||||||||||
Generative Model | 46 | 4 years ago | Jupyter Notebook | |||||||
Repository for implementation of generative models with Tensorflow 1.x | ||||||||||
F Anogan_with_pytorch | 20 | 4 years ago | 1 | Jupyter Notebook | ||||||
Generative Models Collection | 12 | 5 years ago | 1 | mit | Python | |||||
PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN |