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Functions641 in github.com/OUCMachineLearning/OUCML

⨍ Functions 641◇ Types & classes 112
Functionread_all_image_list
(category)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:259
Functionread_image_list
(category)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:240
Functionrepl
(m)
md2zh.py:3
Functionrepl
(m)
One_Day_One_GAN/day13/to_zhihu.py:2
Functionrepl
(m)
One_Day_One_GAN/day16/md2zh.py:3
Functionrepl
(m)
One_Day_One_GAN/day10/md2zh.py:3
Functionresblock
(x_init, channels, use_bias=True, is_training=True, sn=False, scope='resblock')
GAN/Self_attention_GAN_tensorflow/ops.py:100
Methodresidual_block
Residual block described in paper
GAN/srgan_celebA/srgan.py:133
Methodresidual_block
Residual block described in paper
One_Day_One_GAN/day6/srgan/srgan.py:120
Functionsampling
Reparameterization trick by sampling from an isotropic unit Gaussian. # Arguments: args (tensor): mean and log of variance of Q(z|X) #
One_Day_One_GAN/day15/model.py:15
Functionsave_checkpoint
(state, is_best, save)
AutoML/darts-master/cnn/utils.py:86
Functionsave_images
(images, size, image_path)
GAN/datadownloader/utils.py:46
Methodsave_img
(self)
GAN/人脸还原SCFEGAN/demo.py:213
Methodsave_model
(self)
One_Day_One_GAN/day10/infogan/infogan.py:210
Methodsave_sample
(self, data_iter)
GAN/self_attention _gan/trainer.py:224
Methodsketch_mode
(self)
GAN/人脸还原SCFEGAN/demo.py:82
Functionstr2bool
(x)
GAN/Self_attention_GAN_tensorflow/utils.py:127
Functionstr2bool
(v)
GAN/self_attention _gan/parameter.py:3
Methodstroke_mode
(self)
GAN/人脸还原SCFEGAN/demo.py:85
Methodtest
(self)
代码技巧汇总/TF_GAN_util.py:303
Functiontest_resnet
()
Regularization/Cutout-master/model/resnet.py:114
Methodundo
(self)
GAN/人脸还原SCFEGAN/demo.py:219
Methodundo
(self)
GAN/人脸还原SCFEGAN/ui/mouse_event.py:112
Functionunzip
(filepath)
GAN/datadownloader/download.py:73
Methodvar
(self)
代码技巧汇总/TF_GAN_util.py:130
Methodvar
(self)
代码技巧汇总/TF_GAN_util.py:170
Functionvar2numpy
(x)
GAN/self_attention _gan/utils.py:19
Functionvar2tensor
(x)
GAN/self_attention _gan/utils.py:16
Methodwasserstein_loss
(self, y_true, y_pred)
GAN/wgan_gp/wgan_gp.py:136
Methodwasserstein_loss
(self, y_true, y_pred)
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:136
Methodwasserstein_loss
(self, y_true, y_pred)
GAN/ Wasserstein_GAN/wgan/wgan_mnist.py:68
Methodwasserstein_loss
(self, y_true, y_pred)
GAN/ Wasserstein_GAN/wgan/WGAN_CIFAR10.py:91
Methodwasserstein_loss
(self, y_true, y_pred)
GAN/ Wasserstein_GAN/wgan/wgan_fashion_mnist.py:68
Methodwasserstein_loss
(self, y_true, y_pred)
GAN/ Wasserstein_GAN/wgan/wgan.py:68
Methodwasserstein_loss
(self, y_true, y_pred)
One_Day_One_GAN/day5/wgan/wgan.py:57
Functionweight_normalization
based upon openai's https://github.com/openai/generating-reviews-discovering-sentiment/blob/master/encoder.py
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:48
Functionweights_init
(m)
GAN/ACGAN-PyTorch-master/utils.py:2
Functionweights_init
(m)
GAN/DEHAZE-AOE_torch/train.py:16
Functionweights_init_normal
(m)
One_Day_One_GAN/day13/cyclegan/models.py:6
Functionweights_init_normal
(m)
One_Day_One_GAN/day14/pix2pix/models.py:6
Functionweights_init_normal
(m)
One_Day_One_GAN/day12/began/began.py:37
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