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Functions639 in github.com/KeepTryingTo/Pytorch-GAN

⨍ Functions 639◇ Types & classes 107
Method__init__
(self,channel)
StyleGAN/net/model.py:93
Method__init__
(self,in_channels,out_channels,w_dim)
StyleGAN/net/model.py:126
Method__init__
(self,in_channels,out_channels)
StyleGAN/net/model.py:142
Method__init__
(self,z_dim,w_dim,in_channels,img_channels = 3)
StyleGAN/net/model.py:155
Method__init__
(self,in_channels,img_channels = 3)
StyleGAN/net/model.py:220
Method__init__
(self)
SRGAN/loss.py:16
Method__init__
(self,in_channels,scale_factor)
SRGAN/models.py:34
Method__init__
(self,in_channels)
SRGAN/models.py:46
Method__init__
(self,in_channels = 3, num_channels = 64,num_blocks = 16)
SRGAN/models.py:70
Method__init__
(self,in_channels = 3,features = [64,64,128,128,256,256,512,512])
SRGAN/models.py:91
Method__init__
(self, root_dir)
SRGAN/dataset.py:16
Method__init__
(self,root_vango,root_photo,transform=None)
Code/datasets.py:17
Method__init__
(self, in_channels=3,features=(64,128,256,512))
Code/net/Discriminator.py:29
Method__init__
(self,channels)
Code/net/Generator.py:27
Method__init__
(self,img_channels,num_features = 64,num_residual=9)
Code/net/Generator.py:37
Method__init__
(self,in_feautres = 784,out_features = 128)
AutoEncoder/net/AE.py:12
Method__init__
(self, data_path: str, split: str, transform: Callable,
PyTorch-VAE/dataset.py:44
Method__init__
( self, data_path: str, train_batch_size: int = 8, val_batch_size: int = 8,
PyTorch-VAE/dataset.py:81
Method__init__
(self, vae_model: BaseVAE, params: dict)
PyTorch-VAE/experiment.py:17
Method__init__
(self, in_channels: int, latent1_dim: int, latent2_dim: int
PyTorch-VAE/models/hvae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/miwae.py:11
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/dfcvae.py:11
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/swae.py:11
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/logcosh_vae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, categorical_dim:
PyTorch-VAE/models/cat_vae.py:11
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/info_vae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/vanilla_vae.py:11
Method__init__
(self)
PyTorch-VAE/models/base.py:7
Method__init__
(self, in_channels: int, out_channels: int, latent_dim: int
PyTorch-VAE/models/lvae.py:13
Method__init__
(self, in_channels: int, latent_dim: int)
PyTorch-VAE/models/lvae.py:44
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/dip_vae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/wae_mmd.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/beta_vae.py:12
Method__init__
(self, in_channels: int, num_classes: int, latent_dim: int,
PyTorch-VAE/models/cvae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, categorical_dim:
PyTorch-VAE/models/joint_vae.py:12
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/betatc_vae.py:12
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/twostage_vae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/mssim_vae.py:11
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/vampvae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/fvae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/iwae.py:10
Method__init__
(self, in_channels: int, latent_dim: int, hidden_dims: List
PyTorch-VAE/models/gamma_vae.py:12
Method__init__
(self, num_embeddings: int, embedding_dim: int, beta: float
PyTorch-VAE/models/vq_vae.py:12
Method__init__
(self, in_channels: int, out_channels: int)
PyTorch-VAE/models/vq_vae.py:59
Method__init__
(self,hidden_dim = 256,latent_dim = 2,num_features = 784)
VAE_AutoEncoder/net/DenseVAE.py:34
Method__init__
(self,W = 28,H = 28,out_features = 1)
fc-CGANCode/models.py:46
Method__init__
(self,in_features = 784,out_features = 128)
Adversarial_AutoEncoder/net/Encoder.py:12
Method__init__
(self,in_features = 784,out_features = 128)
Adversarial_AutoEncoder/net/Decoder.py:12
Method__init__
(self,in_features = 128)
Adversarial_AutoEncoder/net/Discriminator.py:12
Method__init__
(self)
GANCode/dModel.py:15
Method__init__
(self)
GANCode/gModel.py:13
Method__init__
(self,channels_img,features_d)
github/net/Discriminator.py:14
Method__init__
(self,channels_noise,channels_img,features_g)
github/net/Generator.py:14
Method__init__
(self)
ProGAN/model.py:66
Method__init__
(self, in_channels, out_channels, use_pixelnorm=True)
ProGAN/model.py:75
Method__init__
(self, z_dim, in_channels, img_channels=3)
ProGAN/model.py:92
Method__init__
(self, z_dim, in_channels, img_channels=3)
ProGAN/model.py:155
Method__init__
(self,in_feautres = 784,out_features = 128)
Dropout_AutoEncoder/net/AE.py:12
Method__init__
(self,root_dir)
pix2pix/dataset.py:16
Method__init__
(self,in_channels=3,features=[64,128,256,512])
pix2pix/net/Discriminator.py:26
Method__init__
(self,in_channles=3,features=64)
pix2pix/net/Generator.py:31
Method__init__
(self,features = 64)
DCGAN/DCDis.py:14
Method__init__
(self,randomSize = 100,features = 64,channels = 3)
DCGAN/DCGen.py:14
Method__init__
(self,channels_img,features_d)
WGANGPCode/net/Discriminator.py:14
Method__init__
(self,channels_noise,channels_img,features_g)
WGANGPCode/net/Generator.py:14
Method__init__
(self,in_feautres = 784,out_features = 128)
Denoising_AutoEncoder/net/AE.py:12
Method__init__
(self,img_channels = 1,out_channels = 1,d = 128)
cnn-CGANCode/models.py:82
Method__len__
(self)
SRGAN/dataset.py:28
Method__len__
(self)
Code/datasets.py:30
Method__len__
(self)
PyTorch-VAE/dataset.py:20
Method__len__
(self)
PyTorch-VAE/dataset.py:55
Method__len__
(self)
pix2pix/dataset.py:22
Method_check_integrity
(self)
PyTorch-VAE/dataset.py:35
Function_download_thread
(spec_queue, exception_queue, stats, download_kwargs)
StyleGAN/download_ffhq.py:208
Methodconfigure_optimizers
(self)
PyTorch-VAE/experiment.py:92
Functiondata_loader
Decorator to handle the deprecation of data_loader from 0.7 :param fn: User defined data loader function :return: A wrapper for the data_
PyTorch-VAE/utils.py:8
Methoddecode
(self, input: Tensor)
PyTorch-VAE/models/base.py:13
Functiondraw
(loss,epochs)
AutoEncoder/utils.py:41
Functiondraw
:param gen_loss: :param disc_loss: :return:
VAE_AutoEncoder/utils.py:54
Functiondraw
(loss,epochs)
Adversarial_AutoEncoder/utils.py:42
Functiondraw
(loss,epochs)
Dropout_AutoEncoder/utils.py:41
Functiondraw
(loss,epochs)
Denoising_AutoEncoder/utils.py:41
Methodencode
(self, input: Tensor)
PyTorch-VAE/models/base.py:10
Methodforward
(self,x)
StyleGAN/net/model.py:22
Methodforward
(self,x)
StyleGAN/net/model.py:44
Methodforward
(self,x)
StyleGAN/net/model.py:61
Methodforward
(self,x)
StyleGAN/net/model.py:88
Methodforward
(self,x)
StyleGAN/net/model.py:100
Methodforward
(self,x,w)
StyleGAN/net/model.py:116
Methodforward
(self,x,w)
StyleGAN/net/model.py:136
Methodforward
(self,x)
StyleGAN/net/model.py:148
Methodforward
(self,noise,alpha,steps)
StyleGAN/net/model.py:195
Methodforward
(self,x,alpha,steps)
StyleGAN/net/model.py:267
Methodforward
(self, input, target)
SRGAN/loss.py:26
Methodforward
(self,x)
SRGAN/models.py:28
Methodforward
(self,x)
SRGAN/models.py:40
Methodforward
(self,x)
SRGAN/models.py:64
Methodforward
(self,x)
SRGAN/models.py:83
Methodforward
(self,x)
SRGAN/models.py:116
Methodforward
(self,x)
Code/net/Discriminator.py:24
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