文件名称:generative-models-master
介绍说明－－下载内容来自于网络，使用问题请自行百度
生成对抗网络中的各种衍生网络结构，包括基础GAN，C-GAN,AC-GAN等等
变分自动编码器各种衍生网络结构，包括条件变分自动编码器等等(Generated in the network against the derivative network structure, including GAN, C-GAN, AC-GAN and so on.
The variational autocoder derivative network structure, including conditional variational autocoder etc.)
变分自动编码器各种衍生网络结构，包括条件变分自动编码器等等(Generated in the network against the derivative network structure, including GAN, C-GAN, AC-GAN and so on.
The variational autocoder derivative network structure, including conditional variational autocoder etc.)
相关搜索： GAN VAE
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| generative-models-master | 0 | 2017-04-26 |
| generative-models-master\.gitignore | 1208 | 2017-04-26 |
| generative-models-master\GAN | 0 | 2017-04-26 |
| generative-models-master\GAN\ali_bigan | 0 | 2017-04-26 |
| generative-models-master\GAN\ali_bigan\ali_bigan_pytorch.py | 2748 | 2017-04-26 |
| generative-models-master\GAN\ali_bigan\ali_bigan_tensorflow.py | 3308 | 2017-04-26 |
| generative-models-master\GAN\auxiliary_classifier_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\auxiliary_classifier_gan\ac_gan_pytorch.py | 3659 | 2017-04-26 |
| generative-models-master\GAN\auxiliary_classifier_gan\ac_gan_tensorflow.py | 3900 | 2017-04-26 |
| generative-models-master\GAN\boundary_equilibrium_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\boundary_equilibrium_gan\began_pytorch.py | 2602 | 2017-04-26 |
| generative-models-master\GAN\boundary_equilibrium_gan\began_tensorflow.py | 3134 | 2017-04-26 |
| generative-models-master\GAN\boundary_seeking_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\boundary_seeking_gan\bgan_pytorch.py | 2366 | 2017-04-26 |
| generative-models-master\GAN\boundary_seeking_gan\bgan_tensorflow.py | 3093 | 2017-04-26 |
| generative-models-master\GAN\conditional_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\conditional_gan\cgan_pytorch.py | 3816 | 2017-04-26 |
| generative-models-master\GAN\conditional_gan\cgan_tensorflow.py | 3786 | 2017-04-26 |
| generative-models-master\GAN\coupled_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\coupled_gan\cogan_pytorch.py | 4595 | 2017-04-26 |
| generative-models-master\GAN\coupled_gan\cogan_tensorflow.py | 4974 | 2017-04-26 |
| generative-models-master\GAN\disco_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\disco_gan\discogan_pytorch.py | 4471 | 2017-04-26 |
| generative-models-master\GAN\disco_gan\discogan_tensorflow.py | 5092 | 2017-04-26 |
| generative-models-master\GAN\dual_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\dual_gan\dualgan_pytorch.py | 4671 | 2017-04-26 |
| generative-models-master\GAN\dual_gan\dualgan_tensorflow.py | 5231 | 2017-04-26 |
| generative-models-master\GAN\ebgan | 0 | 2017-04-26 |
| generative-models-master\GAN\ebgan\ebgan_pytorch.py | 2505 | 2017-04-26 |
| generative-models-master\GAN\ebgan\ebgan_tensorflow.py | 3012 | 2017-04-26 |
| generative-models-master\GAN\f_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\f_gan\f_gan_pytorch.py | 3350 | 2017-04-26 |
| generative-models-master\GAN\f_gan\f_gan_tensorflow.py | 3798 | 2017-04-26 |
| generative-models-master\GAN\generative_adversarial_parallelization | 0 | 2017-04-26 |
| generative-models-master\GAN\generative_adversarial_parallelization\gap_pytorch.py | 3368 | 2017-04-26 |
| generative-models-master\GAN\improved_wasserstein_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\improved_wasserstein_gan\wgan_gp_tensorflow.py | 3321 | 2017-04-26 |
| generative-models-master\GAN\infogan | 0 | 2017-04-26 |
| generative-models-master\GAN\infogan\infogan_pytorch.py | 4581 | 2017-04-26 |
| generative-models-master\GAN\infogan\infogan_tensorflow.py | 4093 | 2017-04-26 |
| generative-models-master\GAN\least_squares_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\least_squares_gan\lsgan_pytorch.py | 2430 | 2017-04-26 |
| generative-models-master\GAN\least_squares_gan\lsgan_tensorflow.py | 3174 | 2017-04-26 |
| generative-models-master\GAN\magan | 0 | 2017-04-26 |
| generative-models-master\GAN\magan\magan_pytorch.py | 3513 | 2017-04-26 |
| generative-models-master\GAN\magan\magan_tensorflow.py | 4136 | 2017-04-26 |
| generative-models-master\GAN\mode_regularized_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\mode_regularized_gan\mode_reg_gan_pytorch.py | 3606 | 2017-04-26 |
| generative-models-master\GAN\mode_regularized_gan\mode_reg_gan_tensorflow.py | 3871 | 2017-04-26 |
| generative-models-master\GAN\softmax_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\softmax_gan\softmax_gan_pytorch.py | 2470 | 2017-04-26 |
| generative-models-master\GAN\softmax_gan\softmax_gan_tensorflow.py | 3123 | 2017-04-26 |
| generative-models-master\GAN\vanilla_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\vanilla_gan\gan_pytorch.py | 3478 | 2017-04-26 |
| generative-models-master\GAN\vanilla_gan\gan_tensorflow.py | 3411 | 2017-04-26 |
| generative-models-master\GAN\wasserstein_gan | 0 | 2017-04-26 |
| generative-models-master\GAN\wasserstein_gan\wgan_pytorch.py | 2709 | 2017-04-26 |
| generative-models-master\GAN\wasserstein_gan\wgan_tensorflow.py | 3148 | 2017-04-26 |
| generative-models-master\LICENSE | 1210 | 2017-04-26 |
| generative-models-master\README.md | 2131 | 2017-04-26 |
| generative-models-master\VAE | 0 | 2017-04-26 |
| generative-models-master\VAE\adversarial_autoencoder | 0 | 2017-04-26 |
| generative-models-master\VAE\adversarial_autoencoder\aae_pytorch.py | 3035 | 2017-04-26 |
| generative-models-master\VAE\adversarial_autoencoder\aae_tensorflow.py | 3635 | 2017-04-26 |
| generative-models-master\VAE\adversarial_vb | 0 | 2017-04-26 |
| generative-models-master\VAE\adversarial_vb\avb_pytorch.py | 3131 | 2017-04-26 |
| generative-models-master\VAE\adversarial_vb\avb_tensorflow.py | 3859 | 2017-04-26 |
| generative-models-master\VAE\conditional_vae | 0 | 2017-04-26 |
| generative-models-master\VAE\conditional_vae\cvae_pytorch.py | 3655 | 2017-04-26 |
| generative-models-master\VAE\conditional_vae\cvae_tensorflow.py | 3693 | 2017-04-26 |
| generative-models-master\VAE\denoising_vae | 0 | 2017-04-26 |
| generative-models-master\VAE\denoising_vae\dvae_pytorch.py | 3279 | 2017-04-26 |
| generative-models-master\VAE\denoising_vae\dvae_tensorflow.py | 3290 | 2017-04-26 |
| generative-models-master\VAE\vanilla_vae | 0 | 2017-04-26 |
| generative-models-master\VAE\vanilla_vae\vae_pytorch.py | 3276 | 2017-04-26 |
| generative-models-master\VAE\vanilla_vae\vae_tensorflow.py | 3375 | 2017-04-26 |
| generative-models-master\environment.yml | 150 | 2017-04-26 |
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