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Types & classes107 in github.com/KeepTryingTo/Pytorch-GAN

⨍ Functions 639◇ Types & classes 107
↓ 13 callersClassBlock
pix2pix/net/Generator.py:11
↓ 11 callersClassWSConv2d
StyleGAN/net/model.py:28
↓ 10 callersClassWSConv2d
Weight scaled Conv2d (Equalized Learning Rate) Note that input is multiplied rather than changing weights this will have the same result.
ProGAN/model.py:38
↓ 10 callersClassWSLinear
StyleGAN/net/model.py:49
↓ 6 callersClassConvBlock
Code/net/Generator.py:13
↓ 5 callersClassConvBlock
SRGAN/models.py:11
↓ 5 callersClassGenerator
Code/net/Generator.py:36
↓ 4 callersClassAdaIN
StyleGAN/net/model.py:108
↓ 4 callersClassGenerator
StyleGAN/net/model.py:154
↓ 4 callersClassGenerator
ProGAN/model.py:91
↓ 4 callersClassInjectNoise
StyleGAN/net/model.py:92
↓ 3 callersClassDiscriminator
Code/net/Discriminator.py:28
↓ 3 callersClassDiscriminator
ProGAN/model.py:154
↓ 3 callersClassGenerator
SRGAN/models.py:69
↓ 3 callersClassGenerator
fc-CGANCode/models.py:11
↓ 3 callersClassGenerator
cnn-CGANCode/models.py:16
↓ 3 callersClassPixelNorm
ProGAN/model.py:65
↓ 2 callersClassAE
AutoEncoder/net/AE.py:11
↓ 2 callersClassAE
Dropout_AutoEncoder/net/AE.py:11
↓ 2 callersClassAE
Denoising_AutoEncoder/net/AE.py:11
↓ 2 callersClassConvBlock
ProGAN/model.py:74
↓ 2 callersClassDecoder
VAE_AutoEncoder/net/DenseVAE.py:33
↓ 2 callersClassDecoder
Adversarial_AutoEncoder/net/Decoder.py:11
↓ 2 callersClassDiscrimiantor
Adversarial_AutoEncoder/net/Discriminator.py:11
↓ 2 callersClassDiscriminator
StyleGAN/net/model.py:219
↓ 2 callersClassDiscriminator
SRGAN/models.py:90
↓ 2 callersClassDiscriminator
fc-CGANCode/models.py:45
↓ 2 callersClassDiscriminator
cnn-CGANCode/models.py:81
↓ 2 callersClassEncoder
VAE_AutoEncoder/net/DenseVAE.py:10
↓ 2 callersClassEncoder
Adversarial_AutoEncoder/net/Encoder.py:11
↓ 2 callersClassGenerator
pix2pix/net/Generator.py:30
↓ 2 callersClassMapDataset
pix2pix/dataset.py:15
↓ 2 callersClassMyCelebA
A work-around to address issues with pytorch's celebA dataset class. Download and Extract URL : https://drive.google.com/file/d/1m8-
PyTorch-VAE/dataset.py:27
↓ 2 callersClassMyImageFolder
SRGAN/dataset.py:15
↓ 2 callersClassResidualLayer
PyTorch-VAE/models/vq_vae.py:57
↓ 2 callersClassUpsampleBlock
SRGAN/models.py:33
↓ 1 callersClassBetaTCVAE
PyTorch-VAE/models/betatc_vae.py:9
↓ 1 callersClassBetaVAE
PyTorch-VAE/models/beta_vae.py:8
↓ 1 callersClassBlock
Code/net/Discriminator.py:12
↓ 1 callersClassCNNBlock
pix2pix/net/Discriminator.py:11
↓ 1 callersClassConvBlock
StyleGAN/net/model.py:141
↓ 1 callersClassDFCVAE
PyTorch-VAE/models/dfcvae.py:9
↓ 1 callersClassDIPVAE
PyTorch-VAE/models/dip_vae.py:8
↓ 1 callersClassDiscriminator
github/net/Discriminator.py:13
↓ 1 callersClassDiscriminator
pix2pix/net/Discriminator.py:25
↓ 1 callersClassDiscriminator
DCGAN/DCDis.py:13
↓ 1 callersClassDiscriminator
WGANGPCode/net/Discriminator.py:13
↓ 1 callersClassEMA
StyleGAN/utils.py:91
↓ 1 callersClassEncoderBlock
PyTorch-VAE/models/lvae.py:12
↓ 1 callersClassFactorVAE
PyTorch-VAE/models/fvae.py:8
↓ 1 callersClassGammaVAE
PyTorch-VAE/models/gamma_vae.py:10
↓ 1 callersClassGenBlock
StyleGAN/net/model.py:125
↓ 1 callersClassGenerator
github/net/Generator.py:13
↓ 1 callersClassGenerator
DCGAN/DCGen.py:13
↓ 1 callersClassGenerator
WGANGPCode/net/Generator.py:13
↓ 1 callersClassHVAE
PyTorch-VAE/models/hvae.py:8
↓ 1 callersClassIWAE
PyTorch-VAE/models/iwae.py:8
↓ 1 callersClassJointVAE
PyTorch-VAE/models/joint_vae.py:9
↓ 1 callersClassLVAE
PyTorch-VAE/models/lvae.py:62
↓ 1 callersClassLadderBlock
PyTorch-VAE/models/lvae.py:43
↓ 1 callersClassLogCoshVAE
PyTorch-VAE/models/logcosh_vae.py:8
↓ 1 callersClassMIWAE
PyTorch-VAE/models/miwae.py:9
↓ 1 callersClassMSSIM
PyTorch-VAE/models/mssim_vae.py:182
↓ 1 callersClassMSSIMVAE
PyTorch-VAE/models/mssim_vae.py:9
↓ 1 callersClassMappingNetwork
StyleGAN/net/model.py:67
↓ 1 callersClassPixelNorm
StyleGAN/net/model.py:18
↓ 1 callersClassResidualBlock
SRGAN/models.py:45
↓ 1 callersClassResidualBlock
Code/net/Generator.py:26
↓ 1 callersClassSWAE
PyTorch-VAE/models/swae.py:9
↓ 1 callersClassVAEDataset
PyTorch Lightning data module Args: data_dir: root directory of your dataset. train_batch_size: the batch size to use durin
PyTorch-VAE/dataset.py:66
↓ 1 callersClassVAEXperiment
PyTorch-VAE/experiment.py:15
↓ 1 callersClassVGGLoss
SRGAN/loss.py:15
↓ 1 callersClassVQVAE
PyTorch-VAE/models/vq_vae.py:73
↓ 1 callersClassVampVAE
PyTorch-VAE/models/vampvae.py:8
↓ 1 callersClassVanillaVAE
PyTorch-VAE/models/vanilla_vae.py:8
↓ 1 callersClassVectorQuantizer
Reference: [1] https://github.com/deepmind/sonnet/blob/v2/sonnet/src/nets/vqvae.py
PyTorch-VAE/models/vq_vae.py:7
↓ 1 callersClassWAE_MMD
PyTorch-VAE/models/wae_mmd.py:8
↓ 1 callersClassvanGoPhotoDataset
Code/datasets.py:16
ClassBaseVAE
PyTorch-VAE/models/base.py:5
ClassCategoricalVAE
PyTorch-VAE/models/cat_vae.py:9
ClassConditionalVAE
PyTorch-VAE/models/cvae.py:8
ClassDiscriminator
GANCode/dModel.py:14
ClassGenerator
GANCode/gModel.py:12
ClassInfoVAE
PyTorch-VAE/models/info_vae.py:8
ClassMyDataset
PyTorch-VAE/dataset.py:15
ClassOxfordPets
URL = https://www.robots.ox.ac.uk/~vgg/data/pets/
PyTorch-VAE/dataset.py:40
ClassTestBetaTCVAE
PyTorch-VAE/tests/test_betatcvae.py:7
ClassTestCVAE
PyTorch-VAE/tests/text_cvae.py:6
ClassTestDFCVAE
PyTorch-VAE/tests/test_dfc.py:7
ClassTestDIPVAE
PyTorch-VAE/tests/test_dipvae.py:7
ClassTestFAE
PyTorch-VAE/tests/test_fvae.py:7
ClassTestGammaVAE
PyTorch-VAE/tests/test_gvae.py:7
ClassTestHVAE
PyTorch-VAE/tests/test_hvae.py:7
ClassTestIWAE
PyTorch-VAE/tests/test_iwae.py:7
ClassTestLVAE
PyTorch-VAE/tests/test_lvae.py:7
ClassTestMIWAE
PyTorch-VAE/tests/test_miwae.py:7
ClassTestMSSIMVAE
PyTorch-VAE/tests/test_mssimvae.py:7
ClassTestSWAE
PyTorch-VAE/tests/test_swae.py:7
ClassTestVAE
PyTorch-VAE/tests/bvae.py:7
ClassTestVAE
PyTorch-VAE/tests/test_joint_Vae.py:7
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