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Functions641 in github.com/OUCMachineLearning/OUCML

⨍ Functions 641◇ Types & classes 112
↓ 1 callersFunctionmerge
(images, size)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:226
↓ 1 callersFunctionmkdir_p
(path_list)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:9
↓ 1 callersFunctionparse_args
()
GAN/Self_attention_GAN_tensorflow/main.py:6
↓ 1 callersFunctionplot
(genotype, filename)
AutoML/darts-master/rnn/visualize.py:6
↓ 1 callersFunctionpopulate_train_list
(orig_images_path, hazy_images_path)
GAN/DEHAZE-AOE_torch/dataloader.py:16
↓ 1 callersFunctionprepare_data_dir
(path='./dataset')
GAN/Self_attention_GAN_tensorflow/download.py:65
↓ 1 callersFunctionprepare_data_dir
(path = './data')
GAN/datadownloader/download.py:164
↓ 1 callersFunctionread_data_sets
(train_dir, fake_data=False, one_hot=False, dtype=dty
GAN/ Wasserstein_GAN/WGAN-tensorflow-master/load_svhn.py:109
↓ 1 callersFunctionread_image_list_file
(category, is_test)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:279
↓ 1 callersMethodreparametrize
(self, mu, logvar)
One_Day_One_GAN/day15/vae.py:54
↓ 1 callersMethodreset
(self)
AutoML/darts-master/cnn/utils.py:14
↓ 1 callersFunctionresize_nearest_neighbor
(x, new_size)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:104
↓ 1 callersMethodretranslateUi
(self, Form)
GAN/人脸还原SCFEGAN/ui/ui.py:62
↓ 1 callersFunctionsample_images
Saves a generated sample from the test set
One_Day_One_GAN/day13/cyclegan/cyclegan.py:136
↓ 1 callersFunctionsample_images
Saves a generated sample from the validation set
One_Day_One_GAN/day14/pix2pix/pix2pix.py:107
↓ 1 callersMethodsample_images
(self, epoch)
GAN/wgan_gp/wgan_gp.py:236
↓ 1 callersMethodsample_images
(self, epoch)
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:236
↓ 1 callersMethodsample_images
(self, epoch)
GAN/ Wasserstein_GAN/wgan/wgan_mnist.py:181
↓ 1 callersMethodsample_images
(self, epoch)
GAN/ Wasserstein_GAN/wgan/WGAN_CIFAR10.py:203
↓ 1 callersMethodsample_images
(self, epoch)
GAN/ Wasserstein_GAN/wgan/wgan_fashion_mnist.py:181
↓ 1 callersMethodsample_images
(self, epoch)
GAN/ Wasserstein_GAN/wgan/wgan.py:181
↓ 1 callersMethodsample_images
(self, epoch)
GAN/srgan_celebA/srgan.py:279
↓ 1 callersMethodsample_images
(self, epoch)
One_Day_One_GAN/day1/gan/gan.py:142
↓ 1 callersMethodsample_images
(self, epoch)
One_Day_One_GAN/day3/cgan/cgan.py:162
↓ 1 callersMethodsample_images
(self, epoch)
One_Day_One_GAN/day10/infogan/infogan.py:194
↓ 1 callersMethodsample_images
(self, epoch)
One_Day_One_GAN/day6/srgan/srgan.py:239
↓ 1 callersMethodsample_images
(self, epoch)
One_Day_One_GAN/day4/acgan/acgan.py:177
↓ 1 callersMethodsample_images
(self, epoch)
One_Day_One_GAN/day5/wgan/wgan.py:170
↓ 1 callersMethodsave_epoch
(self,gen_data,e)
代码技巧汇总/TF_GAN_util.py:345
↓ 1 callersMethodsave_imgs
(self, epoch)
One_Day_One_GAN/day2/dcgan/dcgan.py:152
↓ 1 callersMethodsave_imgs
(self,gen_imgs)
代码技巧汇总/TF_GAN_util.py:319
↓ 1 callersMethodsave_model
(self)
One_Day_One_GAN/day4/acgan/acgan.py:195
↓ 1 callersFunctionsave_response_content
(response, destination, chunk_size=32 * 1024)
GAN/Self_attention_GAN_tensorflow/download.py:34
↓ 1 callersFunctionsave_response_content
(response, destination, chunk_size=32*1024)
GAN/datadownloader/download.py:64
↓ 1 callersFunctionshow_all_variables
()
GAN/Self_attention_GAN_tensorflow/utils.py:123
↓ 1 callersFunctiontest
(loader)
Regularization/Cutout-master/train.py:168
↓ 1 callersMethodtest2
(self)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:209
↓ 1 callersFunctionto_img
(x)
One_Day_One_GAN/day15/vae.py:21
↓ 1 callersFunctiontrain
(config)
GAN/DEHAZE-AOE_torch/train.py:25
↓ 1 callersFunctiontrain
(train_queue, model, criterion, optimizer)
AutoML/darts-master/cnn/train.py:111
↓ 1 callersFunctiontrain
(train_queue, valid_queue, model, architect, criterion, optimizer, lr)
AutoML/darts-master/cnn/train_search.py:130
↓ 1 callersFunctiontrain
(train_queue, model, criterion, optimizer)
AutoML/darts-master/cnn/train_imagenet.py:169
↓ 1 callersFunctiontrain
()
AutoML/darts-master/rnn/train.py:159
↓ 1 callersFunctiontrain
()
AutoML/darts-master/rnn/train_search.py:169
↓ 1 callersMethodtrain
(self, epochs, batch_size, sample_interval=50)
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:193
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
GAN/ Wasserstein_GAN/wgan/wgan_mnist.py:125
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
GAN/ Wasserstein_GAN/wgan/WGAN_CIFAR10.py:148
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
GAN/ Wasserstein_GAN/wgan/wgan_fashion_mnist.py:125
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
GAN/ Wasserstein_GAN/wgan/wgan.py:125
↓ 1 callersMethodtrain
(self)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:299
↓ 1 callersMethodtrain
(self, epochs, batch_size=1, sample_interval=50)
GAN/srgan_celebA/srgan.py:204
↓ 1 callersMethodtrain
(self)
GAN/self_attention _gan/trainer.py:71
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
One_Day_One_GAN/day3/cgan/cgan.py:110
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
One_Day_One_GAN/day10/infogan/infogan.py:143
↓ 1 callersMethodtrain
(self)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:231
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, save_interval=50)
One_Day_One_GAN/day2/dcgan/dcgan.py:106
↓ 1 callersMethodtrain
(self, epochs, batch_size=1, sample_interval=50)
One_Day_One_GAN/day6/srgan/srgan.py:191
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
One_Day_One_GAN/day4/acgan/acgan.py:119
↓ 1 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
One_Day_One_GAN/day5/wgan/wgan.py:114
↓ 1 callersFunctiontransform
(image, npx=64, is_crop=True, resize_w=64)
GAN/datadownloader/utils.py:24
↓ 1 callersFunctionvariable_summaries
Attach a lot of summaries to a Tensor (for TensorBoard visualization).
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:220
↓ 1 callersMethodvisualize_results
(self, epoch)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:422
↓ 1 callersMethodwarmup
(self,config)
GAN/人脸还原SCFEGAN/model.py:120
FunctionResNet101
(num_classes=10)
Regularization/Cutout-master/model/resnet.py:108
FunctionResNet152
(num_classes=10)
Regularization/Cutout-master/model/resnet.py:111
FunctionResNet34
(num_classes=10)
Regularization/Cutout-master/model/resnet.py:102
MethodRotation_by_R_label
(self, image, r)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:159
Method__call__
The useful code is here. Args: img (Tensor): Tensor image of size (C, H, W). Returns: Tensor: Image w
Regularization/Cutout-master/util/cutout.py:16
Method__call__
(self, Z, reuse=False)
代码技巧汇总/TF_GAN_util.py:86
Method__call__
(self, inputs, reuse=False, is_sn=False)
代码技巧汇总/TF_GAN_util.py:138
Method__call__
(self)
代码技巧汇总/TF_GAN_util.py:261
Method__call__
(self, img)
AutoML/darts-master/cnn/utils.py:44
Method__getattr__
(self, name)
GAN/人脸还原SCFEGAN/utils/config.py:20
Method__getitem__
Args: index (int): Index Returns: tuple: (image, target) where target is class_index of the target class.
GAN/ACGAN-PyTorch-master/folder.py:120
Method__getitem__
(self, index)
GAN/DEHAZE-AOE_torch/dataloader.py:84
Method__getitem__
(self, index)
One_Day_One_GAN/day13/cyclegan/datasets.py:24
Method__getitem__
(self, index)
One_Day_One_GAN/day7/esrgan/datasets.py:37
Method__getitem__
(self, index)
One_Day_One_GAN/day6/srgan_pytorch/datasets.py:43
Method__getitem__
(self, index)
One_Day_One_GAN/day14/pix2pix/datasets.py:19
Method__getitem__
(self, index)
代码技巧汇总/pair_dataset.py:24
Method__init__
(self, ngpu, num_classes=10)
GAN/ACGAN-PyTorch-master/network.py:68
Method__init__
(self, ngpu, nz)
GAN/ACGAN-PyTorch-master/network.py:148
Method__init__
(self, ngpu, num_classes=10)
GAN/ACGAN-PyTorch-master/network.py:202
Method__init__
(self, root, transform=None, target_transform=None, loader=default_loader, classes_idx=None)
GAN/ACGAN-PyTorch-master/folder.py:103
Method__init__
(self)
GAN/wgan_gp/wgan_gp.py:45
Method__init__
(self)
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:45
Method__init__
(self)
GAN/ Wasserstein_GAN/wgan/wgan_mnist.py:31
Method__init__
(self)
GAN/ Wasserstein_GAN/wgan/WGAN_CIFAR10.py:54
Method__init__
(self)
GAN/ Wasserstein_GAN/wgan/wgan_fashion_mnist.py:31
Method__init__
(self)
GAN/ Wasserstein_GAN/wgan/wgan.py:31
Method__init__
Construct a DataSet. one_hot arg is used only if fake_data is true. `dtype` can be either `uint8` to leave the input as `[0, 255]`, or `float
GAN/ Wasserstein_GAN/WGAN-tensorflow-master/load_svhn.py:25
Method__init__
(self)
GAN/DEHAZE-AOE_torch/net.py:7
Method__init__
(self, orig_images_path, hazy_images_path, mode='train')
GAN/DEHAZE-AOE_torch/dataloader.py:71
Method__init__
(self, config)
GAN/人脸还原SCFEGAN/model.py:7
Method__init__
(self, model, config)
GAN/人脸还原SCFEGAN/demo.py:16
Method__init__
(self, filename=None)
GAN/人脸还原SCFEGAN/utils/config.py:9
Method__init__
(self, mode_list, parent=None)
GAN/人脸还原SCFEGAN/ui/mouse_event.py:9
Method__init__
(self, sess, args)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:8
Method__init__
(self, load_size, channels)
GAN/Self_attention_GAN_tensorflow/utils.py:12
Method__init__
(self)
GAN/srgan_celebA/srgan.py:47
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