Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/chi0tzp/WarpedGANSpace
/ types & classes
Types & classes
95 in github.com/chi0tzp/WarpedGANSpace
⨍
Functions
310
◇
Types & classes
95
↓ 10 callers
Class
NormConvBlock
models/ProgGAN/model.py:35
↓ 8 callers
Class
ConvBlock
lib/evaluation/au_detector/hourglass.py:17
↓ 8 callers
Class
NormUpscaleConvBlock
models/ProgGAN/model.py:49
↓ 5 callers
Class
ConvLayer
models/StyleGAN2/model.py:411
↓ 4 callers
Class
EqualLinear
models/StyleGAN2/model.py:110
↓ 3 callers
Class
Blur
models/StyleGAN2/model.py:67
↓ 3 callers
Class
L2Norm
lib/evaluation/sfd/net_s3fd.py:6
↓ 3 callers
Class
PixelNormLayer
models/ProgGAN/model.py:12
↓ 3 callers
Class
StyledConv
models/StyleGAN2/model.py:253
↓ 3 callers
Class
WScaleLayer
models/ProgGAN/model.py:21
↓ 2 callers
Class
Bottleneck
A named tuple describing a ResNet block.
lib/evaluation/archface/arcface.py:106
↓ 2 callers
Class
DataParallelPassthrough
lib/trainer.py:16
↓ 2 callers
Class
FusedLeakyReLU
models/StyleGAN2/op/fused_act.py:73
↓ 2 callers
Class
Generator
models/StyleGAN2/model.py:285
↓ 2 callers
Class
Hopenet
lib/evaluation/hopenet/hopenet.py:5
↓ 2 callers
Class
HourGlass
lib/evaluation/au_detector/hourglass.py:68
↓ 2 callers
Class
ModulatedConv2d
models/StyleGAN2/model.py:148
↓ 2 callers
Class
NormalDistribution
models/SNGAN/distribution.py:27
↓ 2 callers
Class
SupportSets
lib/support_sets.py:5
↓ 2 callers
Class
ToRGB
models/StyleGAN2/model.py:270
↓ 2 callers
Class
fc_block
lib/evaluation/celeba_attributes/celeba_attr_predictor.py:87
↓ 2 callers
Class
myBN
models/BigGAN/layers.py:209
↓ 1 callers
Class
AUdetector
lib/evaluation/au_detector/AU_detector.py:29
↓ 1 callers
Class
BigGANWrapper
models/gan_load.py:65
↓ 1 callers
Class
CallbackContext
models/BigGAN/sync_batchnorm/replicate.py:23
↓ 1 callers
Class
ConstantInput
models/StyleGAN2/model.py:244
↓ 1 callers
Class
DataParallelPassthrough
traverse_latent_space.py:13
↓ 1 callers
Class
Discriminator
models/StyleGAN2/model.py:453
↓ 1 callers
Class
EqualConv2d
models/StyleGAN2/model.py:84
↓ 1 callers
Class
FANAU
lib/evaluation/au_detector/hourglass.py:209
↓ 1 callers
Class
FaceDetector
An abstract class representing a face detector. Any other face detection implementation must subclass it. All subclasses must implement ``
lib/evaluation/sfd/core.py:10
↓ 1 callers
Class
Flatten
lib/evaluation/archface/arcface.py:30
↓ 1 callers
Class
FutureResult
A thread-safe future implementation. Used only as one-to-one pipe.
models/BigGAN/sync_batchnorm/comm.py:18
↓ 1 callers
Class
GenWrapper
models/SNGAN/sn_gen_resnet.py:57
↓ 1 callers
Class
IDComparator
lib/evaluation/archface/arcface.py:8
↓ 1 callers
Class
Model
lib/evaluation/au_detector/AU_detector.py:5
↓ 1 callers
Class
ModelArgs
traverse_attribute_space.py:32
↓ 1 callers
Class
ModelArgs
traverse_latent_space.py:21
↓ 1 callers
Class
NoiseInjection
models/StyleGAN2/model.py:231
↓ 1 callers
Class
PathImages
lib/data.py:9
↓ 1 callers
Class
PixelNorm
models/StyleGAN2/model.py:9
↓ 1 callers
Class
ProgGANWrapper
models/gan_load.py:109
↓ 1 callers
Class
QFAN
lib/evaluation/au_detector/hourglass.py:115
↓ 1 callers
Class
Reconstructor
lib/reconstructor.py:10
↓ 1 callers
Class
ResBlock
models/StyleGAN2/model.py:442
↓ 1 callers
Class
ResBlockGenerator
models/SNGAN/sn_gen_resnet.py:24
↓ 1 callers
Class
ResNet
lib/evaluation/celeba_attributes/celeba_attr_predictor.py:106
↓ 1 callers
Class
Reshape
models/SNGAN/sn_gen_resnet.py:15
↓ 1 callers
Class
SEModule
lib/evaluation/archface/arcface.py:42
↓ 1 callers
Class
SE_IR
lib/evaluation/archface/arcface.py:133
↓ 1 callers
Class
SFDDetector
lib/evaluation/sfd/sfd_detector.py:5
↓ 1 callers
Class
SNGANWrapper
models/gan_load.py:21
↓ 1 callers
Class
ScaledLeakyReLU
models/StyleGAN2/model.py:139
↓ 1 callers
Class
SlavePipe
Pipe for master-slave communication.
models/BigGAN/sync_batchnorm/comm.py:46
↓ 1 callers
Class
StyleGAN2Wrapper
models/gan_load.py:137
↓ 1 callers
Class
SyncMaster
An abstract `SyncMaster` object. - During the replication, as the data parallel will trigger an callback of each module, all slave devices should
models/BigGAN/sync_batchnorm/comm.py:56
↓ 1 callers
Class
Trainer
lib/trainer.py:24
↓ 1 callers
Class
TrainingStatTracker
lib/aux.py:13
↓ 1 callers
Class
Upsample
models/StyleGAN2/model.py:29
↓ 1 callers
Class
bottleneck_IR
lib/evaluation/archface/arcface.py:63
↓ 1 callers
Class
bottleneck_IR_SE
lib/evaluation/archface/arcface.py:82
↓ 1 callers
Class
s3fd
lib/evaluation/sfd/net_s3fd.py:22
Class
AlexNet
lib/evaluation/hopenet/hopenet.py:125
Class
Attention
models/BigGAN/layers.py:141
Class
BaseDistribution
models/SNGAN/distribution.py:5
Class
BasicBlock
lib/evaluation/celeba_attributes/celeba_attr_predictor.py:17
Class
BatchNorm2dReimpl
A re-implementation of batch normalization, used for testing the numerical stability. Author: acgtyrant See also: https://github
models/BigGAN/sync_batchnorm/batchnorm_reimpl.py:18
Class
Bottleneck
lib/evaluation/celeba_attributes/celeba_attr_predictor.py:49
Class
DBlock
models/BigGAN/layers.py:409
Class
DataParallelPassthrough
sample_gan.py:24
Class
DataParallelWithCallback
Data Parallel with a replication callback. An replication callback `__data_parallel_replicate__` of each module will be invoked after being
models/BigGAN/sync_batchnorm/replicate.py:50
Class
Discriminator
models/BigGAN/BigGAN.py:281
Class
Downsample
models/StyleGAN2/model.py:48
Class
FusedLeakyReLUFunction
models/StyleGAN2/op/fused_act.py:51
Class
FusedLeakyReLUFunctionBackward
models/StyleGAN2/op/fused_act.py:19
Class
GBlock
models/BigGAN/layers.py:372
Class
G_D
models/BigGAN/BigGAN.py:404
Class
Generator
models/BigGAN/BigGAN.py:54
Class
Generator
models/ProgGAN/model.py:65
Class
PoseEstimator
lib/evaluation/hopenet/pose_estimator.py:27
Class
ResNet
lib/evaluation/hopenet/hopenet.py:69
Class
SN
models/BigGAN/layers.py:57
Class
SNConv2d
models/BigGAN/layers.py:100
Class
SNEmbedding
models/BigGAN/layers.py:125
Class
SNLinear
models/BigGAN/layers.py:113
Class
SynchronizedBatchNorm1d
r"""Applies Synchronized Batch Normalization over a 2d or 3d input that is seen as a mini-batch. .. math:: y = \frac{x - mean[x]}{ \
models/BigGAN/sync_batchnorm/batchnorm.py:162
Class
SynchronizedBatchNorm2d
r"""Applies Batch Normalization over a 4d input that is seen as a mini-batch of 3d inputs .. math:: y = \frac{x - mean[x]}{ \sqrt{Va
models/BigGAN/sync_batchnorm/batchnorm.py:225
Class
SynchronizedBatchNorm3d
r"""Applies Batch Normalization over a 5d input that is seen as a mini-batch of 4d inputs .. math:: y = \frac{x - mean[x]}{ \sqrt{Va
models/BigGAN/sync_batchnorm/batchnorm.py:288
Class
TorchTestCase
models/BigGAN/sync_batchnorm/unittest.py:15
Class
UpFirDn2d
models/StyleGAN2/op/upfirdn2d.py:87
Class
UpFirDn2dBackward
models/StyleGAN2/op/upfirdn2d.py:18
Class
_SynchronizedBatchNorm
models/BigGAN/sync_batchnorm/batchnorm.py:38
Class
bn
models/BigGAN/layers.py:330
Class
ccbn
models/BigGAN/layers.py:275
Class
identity
models/BigGAN/layers.py:51