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Functions641 in github.com/OUCMachineLearning/OUCML

⨍ Functions 641◇ Types & classes 112
↓ 2 callersFunction_clip
(grads, max_norm)
AutoML/darts-master/rnn/architect.py:11
↓ 2 callersMethod_compute_init_state
(self, x, h_prev, x_mask, h_mask)
AutoML/darts-master/rnn/model.py:47
↓ 2 callersMethod_get_activation
(self, name)
AutoML/darts-master/rnn/model.py:58
↓ 2 callersMethodadd_word
(self, word)
AutoML/darts-master/rnn/data.py:14
↓ 2 callersMethodattention
(self, x, ch, sn=False, scope='attention', reuse=False)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:180
↓ 2 callersFunctionbgr2ycbcr
same as matlab rgb2ycbcr only_y: only return Y channel Input: uint8, [0, 255] float, [0, 1]
One_Day_One_GAN/day6/srgan_pytorch/PSRN_SSIM.py:122
↓ 2 callersMethodbuild_model_GAN
(self)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:50
↓ 2 callersFunctioncreate_exp_dir
(path, scripts_to_save=None)
AutoML/darts-master/rnn/utils.py:32
↓ 2 callersFunctiondenorm
(x)
GAN/self_attention _gan/utils.py:22
↓ 2 callersFunctiondense_to_one_hot
Convert class labels from scalars to one-hot vectors.
GAN/ Wasserstein_GAN/WGAN-tensorflow-master/get_svhn.py:7
↓ 2 callersFunctiondiscriminator
(inputs, is_train=True, reuse=False)
GAN/datadownloader/model.py:52
↓ 2 callersFunctiondrop_path
(x, drop_prob)
AutoML/darts-master/cnn/utils.py:102
↓ 2 callersFunctionflatten
(x)
GAN/Self_attention_GAN_tensorflow/ops.py:90
↓ 2 callersFunctionfully_connected
(inputs, num_out, is_sn=False)
代码技巧汇总/TF_GAN_util.py:40
↓ 2 callersMethodgenerate
(self, z_var, batch_size=64, resnet=False, is_train=True, reuse=False)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:466
↓ 2 callersFunctiongenerator
(inputs, is_train=True, reuse=False)
GAN/datadownloader/model.py:15
↓ 2 callersMethodgenotype
(self)
AutoML/darts-master/rnn/model_search.py:75
↓ 2 callersMethodget_stk_color
(self, color)
GAN/人脸还原SCFEGAN/ui/mouse_event.py:101
↓ 2 callersFunctioniterate_minibatches
(batch_size, shuffle=True)
GAN/datadownloader/main.py:121
↓ 2 callersFunctionl2_norm
(v, eps=1e-12)
GAN/Self_attention_GAN_tensorflow/ops.py:179
↓ 2 callersFunctionl2_norm
(v, eps=1e-12)
代码技巧汇总/TF_GAN_util.py:61
↓ 2 callersFunctionload_cifar10
(size=64)
GAN/Self_attention_GAN_tensorflow/utils.py:47
↓ 2 callersFunctionload_mnist
(size=64)
GAN/Self_attention_GAN_tensorflow/utils.py:25
↓ 2 callersFunctionmask2d
(B, D, keep_prob, cuda=True)
AutoML/darts-master/rnn/utils.py:87
↓ 2 callersFunctionpil_loader
(path)
GAN/ACGAN-PyTorch-master/folder.py:54
↓ 2 callersFunctionplot
(genotype, filename)
AutoML/darts-master/cnn/visualize.py:6
↓ 2 callersMethodpush_and_pop
(self, data)
One_Day_One_GAN/day13/cyclegan/utils.py:19
↓ 2 callersMethodreset
(self)
GAN/人脸还原SCFEGAN/ui/mouse_event.py:28
↓ 2 callersMethodreset_items
(self)
GAN/人脸还原SCFEGAN/ui/mouse_event.py:107
↓ 2 callersMethodsample_generator_input
(self, batch_size)
One_Day_One_GAN/day10/infogan/infogan.py:135
↓ 2 callersMethodsetupUi
(self, Form)
GAN/人脸还原SCFEGAN/ui/ui.py:4
↓ 2 callersFunctionshort_cut
(x)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:141
↓ 2 callersFunctionsvhn_loader
(url, path)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/download.py:107
↓ 2 callersFunctiontanh
(x)
GAN/Self_attention_GAN_tensorflow/ops.py:139
↓ 2 callersMethodtest
(self)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:435
↓ 2 callersFunctionto_rgb
(image)
One_Day_One_GAN/day13/cyclegan/datasets.py:10
↓ 2 callersFunctionto_rgb
(image)
代码技巧汇总/pair_dataset.py:10
↓ 2 callersFunctionunpickle
(file)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/download.py:135
↓ 2 callersFunctionupscale
(x, scale)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:92
↓ 1 callersFunctionResNet18
(num_classes=10)
Regularization/Cutout-master/model/resnet.py:99
↓ 1 callersFunctionResNet50
(num_classes=10)
Regularization/Cutout-master/model/resnet.py:105
↓ 1 callersMethod__init__
(self)
One_Day_One_GAN/day1/gan_t/gan.py:39
↓ 1 callersMethod__init__
(self)
One_Day_One_GAN/day12/began/began.py:46
↓ 1 callersMethod__init__
(self, *args)
AutoML/darts-master/rnn/model_search.py:48
↓ 1 callersMethod__init__
(self, ntoken, ninp, nhid, nhidlast, dropout=0.5, dropouth=0.5, dropoutx=0.5, dropouti=0.5,
AutoML/darts-master/rnn/model.py:94
↓ 1 callersMethod_backward_step
(self, input_valid, target_valid)
AutoML/darts-master/cnn/architect.py:39
↓ 1 callersMethod_backward_step
(self, hidden, input, target)
AutoML/darts-master/rnn/architect.py:54
↓ 1 callersMethod_backward_step_unrolled
(self, input_train, target_train, input_valid, target_valid, eta, network_optimizer)
AutoML/darts-master/cnn/architect.py:43
↓ 1 callersMethod_backward_step_unrolled
(self, hidden_train, input_train, target_train, hidden_valid, input_valid, target_valid, e
AutoML/darts-master/rnn/architect.py:59
↓ 1 callersMethod_compile
(self, C, op_names, indices, concat, reduction)
AutoML/darts-master/cnn/model.py:28
↓ 1 callersMethod_compute_unrolled_model
(self, input, target, eta, network_optimizer)
AutoML/darts-master/cnn/architect.py:20
↓ 1 callersMethod_compute_unrolled_model
(self, hidden, input, target, eta)
AutoML/darts-master/rnn/architect.py:32
↓ 1 callersMethod_construct_model_from_theta
(self, theta)
AutoML/darts-master/cnn/architect.py:61
↓ 1 callersMethod_construct_model_from_theta
(self, theta)
AutoML/darts-master/rnn/architect.py:82
↓ 1 callersMethod_hessian_vector_product
(self, vector, input, target, r=1e-2)
AutoML/darts-master/cnn/architect.py:76
↓ 1 callersMethod_hessian_vector_product
(self, vector, hidden, input, target, r=1e-2)
AutoML/darts-master/rnn/architect.py:97
↓ 1 callersMethod_init_inception
(self)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:502
↓ 1 callersMethod_initialize_alphas
(self)
AutoML/darts-master/cnn/model_search.py:119
↓ 1 callersMethod_initialize_arch_parameters
(self)
AutoML/darts-master/rnn/model_search.py:59
↓ 1 callersMethod_made_params
(self)
GAN/self_attention _gan/spectral.py:37
↓ 1 callersMethod_made_params
(self)
One_Day_One_GAN/day6/srgan_pytorch/spectral.py:37
↓ 1 callersMethod_make_layer
(self, block, in_planes, out_planes, nb_layers, stride, dropRate)
Regularization/Cutout-master/model/wide_resnet.py:39
↓ 1 callersMethod_make_params
(self)
GAN/self_attention _gan/spectral.py:47
↓ 1 callersMethod_make_params
(self)
One_Day_One_GAN/day6/srgan_pytorch/spectral.py:47
↓ 1 callersMethod_update_u_v
(self)
GAN/self_attention _gan/spectral.py:23
↓ 1 callersMethod_update_u_v
(self)
One_Day_One_GAN/day6/srgan_pytorch/spectral.py:23
↓ 1 callersFunctionaccimage_loader
(path)
GAN/ACGAN-PyTorch-master/folder.py:61
↓ 1 callersFunctionalt_train
(sess, opt)
GAN/ebgan-master/mnist_ebgan_train.py:85
↓ 1 callersMethodblock
(in_feat, out_feat, normalize=True)
One_Day_One_GAN/day1/gan_t/gan.py:42
↓ 1 callersMethodbuild_critic
(self)
GAN/wgan_gp/wgan_gp.py:163
↓ 1 callersMethodbuild_critic
(self)
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:163
↓ 1 callersMethodbuild_critic
(self)
GAN/ Wasserstein_GAN/wgan/wgan_mnist.py:95
↓ 1 callersMethodbuild_critic
(self)
GAN/ Wasserstein_GAN/wgan/WGAN_CIFAR10.py:118
↓ 1 callersMethodbuild_critic
(self)
GAN/ Wasserstein_GAN/wgan/wgan_fashion_mnist.py:95
↓ 1 callersMethodbuild_critic
(self)
GAN/ Wasserstein_GAN/wgan/wgan.py:95
↓ 1 callersMethodbuild_critic
(self)
One_Day_One_GAN/day5/wgan/wgan.py:84
↓ 1 callersMethodbuild_demo_graph
(self, config)
GAN/人脸还原SCFEGAN/model.py:88
↓ 1 callersMethodbuild_discriminator
(self)
GAN/srgan_celebA/srgan.py:176
↓ 1 callersMethodbuild_discriminator
(self)
One_Day_One_GAN/day1/gan/gan.py:76
↓ 1 callersMethodbuild_discriminator
(self)
One_Day_One_GAN/day3/cgan/cgan.py:83
↓ 1 callersMethodbuild_discriminator
(self)
One_Day_One_GAN/day2/dcgan/dcgan.py:76
↓ 1 callersMethodbuild_discriminator
(self)
One_Day_One_GAN/day6/srgan/srgan.py:163
↓ 1 callersMethodbuild_discriminator
(self)
One_Day_One_GAN/day4/acgan/acgan.py:85
↓ 1 callersMethodbuild_disk_and_q_net
(self)
One_Day_One_GAN/day10/infogan/infogan.py:90
↓ 1 callersMethodbuild_gen
(self, x, mask, name='generator',reuse=False, trainig=True)
GAN/人脸还原SCFEGAN/model.py:29
↓ 1 callersMethodbuild_generator
(self)
GAN/wgan_gp/wgan_gp.py:139
↓ 1 callersMethodbuild_generator
(self)
GAN/ Wasserstein_GAN/wgan_gp/wgan_gp.py:139
↓ 1 callersMethodbuild_generator
(self)
GAN/ Wasserstein_GAN/wgan/wgan_mnist.py:71
↓ 1 callersMethodbuild_generator
(self)
GAN/ Wasserstein_GAN/wgan/WGAN_CIFAR10.py:94
↓ 1 callersMethodbuild_generator
(self)
GAN/ Wasserstein_GAN/wgan/wgan_fashion_mnist.py:71
↓ 1 callersMethodbuild_generator
(self)
GAN/ Wasserstein_GAN/wgan/wgan.py:71
↓ 1 callersMethodbuild_generator
(self)
GAN/srgan_celebA/srgan.py:131
↓ 1 callersMethodbuild_generator
(self)
One_Day_One_GAN/day1/gan/gan.py:53
↓ 1 callersMethodbuild_generator
(self)
One_Day_One_GAN/day3/cgan/cgan.py:55
↓ 1 callersMethodbuild_generator
(self)
One_Day_One_GAN/day10/infogan/infogan.py:64
↓ 1 callersMethodbuild_generator
(self)
One_Day_One_GAN/day2/dcgan/dcgan.py:52
↓ 1 callersMethodbuild_generator
(self)
One_Day_One_GAN/day6/srgan/srgan.py:118
↓ 1 callersMethodbuild_generator
(self)
One_Day_One_GAN/day4/acgan/acgan.py:56
↓ 1 callersMethodbuild_generator
(self)
One_Day_One_GAN/day5/wgan/wgan.py:60
↓ 1 callersFunctionbuild_model
Builds/compiles the model and returns (encoder, decoder, vae).
One_Day_One_GAN/day15/model.py:28
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