MCPcopy Create free account

hub / github.com/OUCMachineLearning/OUCML / types & classes

Types & classes112 in github.com/OUCMachineLearning/OUCML

⨍ Functions 641◇ Types & classes 112
↓ 51 callersClassModel
GAN/人脸还原SCFEGAN/model.py:6
↓ 9 callersClassDataLoader
One_Day_One_GAN/day6/srgan/data_loader.py:6
↓ 9 callersClassSpectralNorm
One_Day_One_GAN/day6/srgan_pytorch/spectral.py:14
↓ 8 callersClassSpectralNorm
GAN/self_attention _gan/spectral.py:14
↓ 8 callersClassUNetDown
One_Day_One_GAN/day14/pix2pix/models.py:20
↓ 7 callersClassUNetUp
One_Day_One_GAN/day14/pix2pix/models.py:35
↓ 6 callersClassNetwork
AutoML/darts-master/cnn/model_search.py:61
↓ 5 callersClassResNet
Regularization/Cutout-master/model/resnet.py:66
↓ 4 callersClassDataSet
GAN/ Wasserstein_GAN/WGAN-tensorflow-master/load_svhn.py:23
↓ 4 callersClassReLUConvBN
AutoML/darts-master/cnn/operations.py:22
↓ 4 callersClassSelf_Attn
Self attention Layer
GAN/self_attention _gan/sagan_models.py:8
↓ 3 callersClassDenseResidualBlock
The core module of paper: (Residual Dense Network for Image Super-Resolution, CVPR 18)
One_Day_One_GAN/day7/esrgan/models.py:18
↓ 3 callersClassDenseResidualBlock
The core module of paper: (Residual Dense Network for Image Super-Resolution, CVPR 18)
One_Day_One_GAN/day6/srgan_pytorch/models.py:19
↓ 3 callersClassFactorizedReduce
AutoML/darts-master/cnn/operations.py:90
↓ 3 callersClassGeneratorResNet
One_Day_One_GAN/day13/cyclegan/models.py:40
↓ 3 callersClassLambdaLR
One_Day_One_GAN/day13/cyclegan/utils.py:36
↓ 3 callersClassNetworkBlock
Regularization/Cutout-master/model/wide_resnet.py:35
↓ 3 callersClassSepConv
AutoML/darts-master/cnn/operations.py:50
↓ 3 callersClassdehaze_net
GAN/DEHAZE-AOE_torch/net.py:5
↓ 2 callersClassCell
AutoML/darts-master/cnn/model.py:8
↓ 2 callersClassDictionary
AutoML/darts-master/rnn/data.py:7
↓ 2 callersClassDilConv
AutoML/darts-master/cnn/operations.py:35
↓ 2 callersClassDiscriminator
One_Day_One_GAN/day13/cyclegan/models.py:95
↓ 2 callersClassGenerator
代码技巧汇总/TF_GAN_util.py:82
↓ 2 callersClassGeneratorRRDB
One_Day_One_GAN/day7/esrgan/models.py:60
↓ 2 callersClassGeneratorRRDB
One_Day_One_GAN/day6/srgan_pytorch/models.py:61
↓ 2 callersClassImageDataset
One_Day_One_GAN/day13/cyclegan/datasets.py:16
↓ 2 callersClassImageDataset
One_Day_One_GAN/day14/pix2pix/datasets.py:11
↓ 2 callersClassReplayBuffer
One_Day_One_GAN/day13/cyclegan/utils.py:13
↓ 2 callersClassWideResNet
Regularization/Cutout-master/model/wide_resnet.py:47
↓ 1 callersClassACGAN
One_Day_One_GAN/day4/acgan/acgan.py:15
↓ 1 callersClassArchitect
AutoML/darts-master/cnn/architect.py:11
↓ 1 callersClassArchitect
AutoML/darts-master/rnn/architect.py:24
↓ 1 callersClassAuxiliaryHeadCIFAR
AutoML/darts-master/cnn/model.py:63
↓ 1 callersClassAuxiliaryHeadImageNet
AutoML/darts-master/cnn/model.py:86
↓ 1 callersClassBatchSentLoader
AutoML/darts-master/rnn/data.py:91
↓ 1 callersClassCGAN
One_Day_One_GAN/day3/cgan/cgan.py:15
↓ 1 callersClassCSVLogger
Regularization/Cutout-master/util/misc.py:4
↓ 1 callersClassCell
AutoML/darts-master/cnn/model_search.py:25
↓ 1 callersClassCifar
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:75
↓ 1 callersClassConfig
GAN/人脸还原SCFEGAN/utils/config.py:8
↓ 1 callersClassCrossEntropyLabelSmooth
AutoML/darts-master/cnn/train_imagenet.py:59
↓ 1 callersClassCutout
Randomly mask out one or more patches from an image. Args: n_holes (int): Number of patches to cut out of each image. length (int
Regularization/Cutout-master/util/cutout.py:5
↓ 1 callersClassCutout
AutoML/darts-master/cnn/utils.py:40
↓ 1 callersClassDCGAN
One_Day_One_GAN/day2/dcgan/dcgan.py:17
↓ 1 callersClassDataLoader
GAN/srgan_celebA/data_loader.py:7
↓ 1 callersClassData_Loader
GAN/self_attention _gan/data_loader.py:6
↓ 1 callersClassDiscriminator
Discriminator, Auxiliary Classifier.
GAN/self_attention _gan/sagan_models.py:104
↓ 1 callersClassDiscriminator
One_Day_One_GAN/day1/gan_t/gan.py:64
↓ 1 callersClassDiscriminator
One_Day_One_GAN/day7/esrgan/models.py:96
↓ 1 callersClassDiscriminator
One_Day_One_GAN/day6/srgan_pytorch/models.py:97
↓ 1 callersClassDiscriminator
One_Day_One_GAN/day14/pix2pix/models.py:109
↓ 1 callersClassDiscriminator
One_Day_One_GAN/day12/began/began.py:72
↓ 1 callersClassDiscriminator
代码技巧汇总/TF_GAN_util.py:134
↓ 1 callersClassEx
GAN/人脸还原SCFEGAN/demo.py:15
↓ 1 callersClassFeatureExtractor
One_Day_One_GAN/day7/esrgan/models.py:8
↓ 1 callersClassFeatureExtractor
One_Day_One_GAN/day6/srgan_pytorch/models.py:9
↓ 1 callersClassGAN
One_Day_One_GAN/day1/gan/gan.py:18
↓ 1 callersClassGAN
代码技巧汇总/TF_GAN_util.py:175
↓ 1 callersClassGenerator
Generator.
GAN/self_attention _gan/sagan_models.py:42
↓ 1 callersClassGenerator
One_Day_One_GAN/day1/gan_t/gan.py:38
↓ 1 callersClassGenerator
One_Day_One_GAN/day12/began/began.py:45
↓ 1 callersClassGeneratorUNet
One_Day_One_GAN/day14/pix2pix/models.py:55
↓ 1 callersClassGraphicsScene
GAN/人脸还原SCFEGAN/ui/mouse_event.py:8
↓ 1 callersClassINFOGAN
One_Day_One_GAN/day10/infogan/infogan.py:17
↓ 1 callersClassIdentity
AutoML/darts-master/cnn/operations.py:69
↓ 1 callersClassImageData
GAN/Self_attention_GAN_tensorflow/utils.py:10
↓ 1 callersClassImageDataset
One_Day_One_GAN/day7/esrgan/datasets.py:16
↓ 1 callersClassImageDataset
One_Day_One_GAN/day6/srgan_pytorch/datasets.py:21
↓ 1 callersClassImageFolder
A generic data loader where the images are arranged in this way: :: root/dog/xxx.png root/dog/xxy.png root/dog/xxz.png
GAN/ACGAN-PyTorch-master/folder.py:78
↓ 1 callersClassLockedDropout
AutoML/darts-master/rnn/utils.py:74
↓ 1 callersClassMixedOp
AutoML/darts-master/cnn/model_search.py:10
↓ 1 callersClassRNNModelSearch
AutoML/darts-master/rnn/model_search.py:46
↓ 1 callersClassRandomWeightedAverage
Provides a (random) weighted average between real and generated image samples
GAN/wgan_gp/wgan_gp.py:38
↓ 1 callersClassRandomWeightedAverage
Provides a (random) weighted average between real and generated image samples
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:38
↓ 1 callersClassResidualBlock
One_Day_One_GAN/day13/cyclegan/models.py:22
↓ 1 callersClassResidualInResidualDenseBlock
One_Day_One_GAN/day7/esrgan/models.py:48
↓ 1 callersClassResidualInResidualDenseBlock
One_Day_One_GAN/day6/srgan_pytorch/models.py:49
↓ 1 callersClassSAGAN
GAN/Self_attention_GAN_tensorflow/SAGAN.py:6
↓ 1 callersClassSRGAN
GAN/srgan_celebA/srgan.py:46
↓ 1 callersClassSRGAN
One_Day_One_GAN/day6/srgan/srgan.py:33
↓ 1 callersClassSSGAN
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:13
↓ 1 callersClassSTL
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:19
↓ 1 callersClassSentCorpus
AutoML/darts-master/rnn/data.py:58
↓ 1 callersClassTrainer
GAN/self_attention _gan/trainer.py:14
↓ 1 callersClassUi_Form
GAN/人脸还原SCFEGAN/ui/ui.py:3
↓ 1 callersClassVAE
One_Day_One_GAN/day15/vae.py:40
↓ 1 callersClassWGAN
GAN/ Wasserstein_GAN/wgan/wgan_mnist.py:30
↓ 1 callersClassWGAN
GAN/ Wasserstein_GAN/wgan/WGAN_CIFAR10.py:53
↓ 1 callersClassWGAN
GAN/ Wasserstein_GAN/wgan/wgan_fashion_mnist.py:30
↓ 1 callersClassWGAN
GAN/ Wasserstein_GAN/wgan/wgan.py:30
↓ 1 callersClassWGAN
One_Day_One_GAN/day5/wgan/wgan.py:19
↓ 1 callersClassWGANGP
GAN/wgan_gp/wgan_gp.py:44
↓ 1 callersClassWGANGP
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:44
↓ 1 callersClassZero
AutoML/darts-master/cnn/operations.py:78
↓ 1 callersClass_netD
GAN/ACGAN-PyTorch-master/network.py:67
↓ 1 callersClass_netD_CIFAR10
GAN/ACGAN-PyTorch-master/network.py:201
↓ 1 callersClass_netG
GAN/ACGAN-PyTorch-master/network.py:5
↓ 1 callersClass_netG_CIFAR10
GAN/ACGAN-PyTorch-master/network.py:147
ClassAvgrageMeter
AutoML/darts-master/cnn/utils.py:9
next →1–100 of 112, ranked by callers