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Functions641 in github.com/OUCMachineLearning/OUCML

⨍ Functions 641◇ Types & classes 112
↓ 37 callersMethodload
(self, checkpoint_dir)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:406
↓ 27 callersMethodupdate
(self, val, n=1)
AutoML/darts-master/cnn/utils.py:19
↓ 21 callersMethodclose
(self)
Regularization/Cutout-master/util/misc.py:25
↓ 19 callersFunctiondiscriminator
(x)
GAN/ebgan-master/model.py:34
↓ 19 callersMethodstep
(self, epoch)
One_Day_One_GAN/day13/cyclegan/utils.py:43
↓ 18 callersFunctiongate_conv
(x_in, cnum, ksize, stride=1, rate=1, name='conv', padding='SAME', activation='leaky_relu', use_l
GAN/人脸还原SCFEGAN/ops.py:7
↓ 18 callersMethodgenerator
(self, z, is_training=True, reuse=False)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:98
↓ 18 callersMethodopen
(self)
GAN/人脸还原SCFEGAN/demo.py:53
↓ 15 callersMethodsave
(model, model_name)
One_Day_One_GAN/day4/acgan/acgan.py:197
↓ 15 callersMethodstep
(self, input_train, target_train, input_valid, target_valid, eta, network_optimizer, unrolled)
AutoML/darts-master/cnn/architect.py:31
↓ 13 callersFunctionconv2d
(input_, output_dim, kernel=4, stride=2, stddev=0.02, spectural_normed=False, iter=1, na
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:13
↓ 12 callersFunctionconv
(x, channels, kernel=4, stride=2, pad=0, pad_type='zero', use_bias=True, sn=False, scope='conv_0')
GAN/Self_attention_GAN_tensorflow/ops.py:17
↓ 11 callersFunctiongenerator
(x)
GAN/ebgan-master/model.py:16
↓ 11 callersMethodload_data
(self, batch_size=1, is_testing=False)
GAN/srgan_celebA/data_loader.py:12
↓ 10 callersFunctionbatch_norm
(x, is_training=True, scope='batch_norm')
GAN/Self_attention_GAN_tensorflow/ops.py:146
↓ 10 callersMethoddiscriminator
(self, x, is_training=True, reuse=False)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:152
↓ 9 callersMethodload_data
(self, batch_size=1, is_testing=False)
One_Day_One_GAN/day6/srgan/data_loader.py:11
↓ 9 callersMethodsave
(self, checkpoint_dir, step)
GAN/Self_attention_GAN_tensorflow/SAGAN.py:398
↓ 9 callersMethodsave
(model, model_name)
One_Day_One_GAN/day10/infogan/infogan.py:212
↓ 9 callersMethodtransform
(self, resize, totensor, normalize, centercrop)
GAN/self_attention _gan/data_loader.py:15
↓ 8 callersFunctionbatchify
(data, bsz, args)
AutoML/darts-master/rnn/utils.py:15
↓ 8 callersFunctionrelu
(x)
GAN/Self_attention_GAN_tensorflow/ops.py:135
↓ 8 callersMethodtrain
(self, epochs, batch_size, sample_interval=50)
GAN/wgan_gp/wgan_gp.py:193
↓ 7 callersMethodarch_parameters
(self)
AutoML/darts-master/cnn/model_search.py:130
↓ 7 callersMethodarch_parameters
(self)
AutoML/darts-master/rnn/model_search.py:67
↓ 7 callersFunctiongate_deconv
(input_, output_shape, k_h=5, k_w=5, d_h=2, d_w=2, stddev=0.02, name="deconv", training=True)
GAN/人脸还原SCFEGAN/ops.py:30
↓ 7 callersFunctionimsave
(images, size, path)
GAN/datadownloader/utils.py:40
↓ 7 callersMethodnew
(self)
AutoML/darts-master/cnn/model_search.py:97
↓ 7 callersFunctionrepackage_hidden
(h)
AutoML/darts-master/rnn/utils.py:8
↓ 6 callersFunctionbatch_normal
(input, reuse=False, is_training=True, scope="scope")
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:133
↓ 6 callersFunctioncheck_folder
(log_dir)
GAN/Self_attention_GAN_tensorflow/utils.py:118
↓ 6 callersFunctiondenormalize
Denormalizes image tensors using mean and std
One_Day_One_GAN/day6/srgan_pytorch/datasets.py:15
↓ 6 callersFunctiondownload
(out_dir, category, set_name, tag)
GAN/datadownloader/dataload.py:27
↓ 6 callersFunctionget_batch
(source, i, args, seq_len=None, evaluation=False)
AutoML/darts-master/rnn/utils.py:25
↓ 6 callersMethodinit_hidden
(self, bsz)
AutoML/darts-master/rnn/model.py:157
↓ 5 callersMethod__init__
(self, stride)
AutoML/darts-master/cnn/operations.py:80
↓ 5 callersMethod_loss
(self, input, target)
AutoML/darts-master/cnn/model_search.py:115
↓ 5 callersMethod_loss
(self, hidden, input, target)
AutoML/darts-master/rnn/model_search.py:70
↓ 5 callersFunctionbn
(inputs)
代码技巧汇总/TF_GAN_util.py:76
↓ 5 callersMethoddiscriminate
(self, x_var, resnet=False, reuse=False)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:414
↓ 5 callersFunctionfully_connect
(input_, output_size, scope=None, stddev=0.02, spectural_normed=False, iter=1, bias_start=0.
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:108
↓ 5 callersMethodimread
(self, path)
GAN/srgan_celebA/data_loader.py:44
↓ 5 callersMethodimread
(self, path)
One_Day_One_GAN/day6/srgan/data_loader.py:43
↓ 5 callersFunctionlogging
(s, print_=True, log_=True)
AutoML/darts-master/rnn/test.py:67
↓ 5 callersFunctionnormalize
(x)
GAN/Self_attention_GAN_tensorflow/utils.py:83
↓ 4 callersFunctionResidual_D
(x, output_dims=256, kernel=3, strides=1, spectural_normed=True, down_sampling=False, residual_name='resi', is
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:154
↓ 4 callersMethod__init__
(self, channels, filters=64, num_res_blocks=16, num_upsample=2)
One_Day_One_GAN/day7/esrgan/models.py:61
↓ 4 callersMethod__init__
(self, channels, filters=64, num_res_blocks=16, num_upsample=2)
One_Day_One_GAN/day6/srgan_pytorch/models.py:62
↓ 4 callersMethod__init__
(self, genotype, C_prev_prev, C_prev, C, reduction, reduction_prev)
AutoML/darts-master/cnn/model.py:10
↓ 4 callersFunction_concat
(xs)
AutoML/darts-master/cnn/architect.py:7
↓ 4 callersMethod_make_layer
(self, block, planes, num_blocks, stride)
Regularization/Cutout-master/model/resnet.py:79
↓ 4 callersFunctiondeconv
(x, channels, kernel=4, stride=2, padding='SAME', use_bias=True, sn=False, scope='deconv_0')
GAN/Self_attention_GAN_tensorflow/ops.py:43
↓ 4 callersFunctiondeconv
(inputs, shape, strides, out_shape, is_sn=False, padding="SAME")
代码技巧汇总/TF_GAN_util.py:24
↓ 4 callersFunctionl2normalize
(v, eps=1e-12)
GAN/self_attention _gan/spectral.py:10
↓ 4 callersFunctionl2normalize
(v, eps=1e-12)
One_Day_One_GAN/day6/srgan_pytorch/spectral.py:10
↓ 4 callersMethodloader
(self)
GAN/self_attention _gan/data_loader.py:40
↓ 4 callersFunctionlrelu
(x, alpha=0.1)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:10
↓ 4 callersFunctionmake_folder
(path, version)
GAN/self_attention _gan/utils.py:6
↓ 4 callersMethodnew
(self)
AutoML/darts-master/rnn/model_search.py:53
↓ 4 callersFunctionsave
(model, model_path)
AutoML/darts-master/cnn/utils.py:94
↓ 4 callersFunctionspectral_norm
(w, iteration=1)
GAN/Self_attention_GAN_tensorflow/ops.py:152
↓ 4 callersFunctiontensor2var
(x, grad=False)
GAN/self_attention _gan/utils.py:11
↓ 4 callersMethodtrain
(self, epochs, batch_size=128, sample_interval=50)
One_Day_One_GAN/day1/gan/gan.py:93
↓ 4 callersFunctiontransform
(image, npx = 64 , is_crop=False, resize_w = 64)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:190
↓ 3 callersFunctionResidual_G
(x, output_dims=256, kernel=3, strides=1, spectural_normed=False, up_sampling=False, residual_name='resi')
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:137
↓ 3 callersMethod__init__
(self, ngpu, nz)
GAN/ACGAN-PyTorch-master/network.py:6
↓ 3 callersMethod__init__
(self, in_size, out_size, dropout=0.0)
One_Day_One_GAN/day14/pix2pix/models.py:36
↓ 3 callersFunction_concat
(xs)
AutoML/darts-master/rnn/architect.py:7
↓ 3 callersFunction_download_lsun
(out_dir, category, set_name, tag)
GAN/datadownloader/download.py:108
↓ 3 callersFunctionavgpool2d
(x, k=2)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:89
↓ 3 callersFunctionconv
(inputs, shape, strides, is_sn=False, padding="SAME")
代码技巧汇总/TF_GAN_util.py:32
↓ 3 callersFunctionconv3x3
(in_planes, out_planes, stride=1)
Regularization/Cutout-master/model/resnet.py:9
↓ 3 callersFunctionde_conv
(input_, output_shape, k_h=4, k_w=4, d_h=2, d_w=2, stddev=0.02, name="deconv2d", spe
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:65
↓ 3 callersFunctionevaluate
(data_source, batch_size=10)
AutoML/darts-master/rnn/train.py:140
↓ 3 callersFunctionfake
()
GAN/ Wasserstein_GAN/WGAN-tensorflow-master/load_svhn.py:117
↓ 3 callersFunctionhw_flatten
(x)
GAN/Self_attention_GAN_tensorflow/ops.py:93
↓ 3 callersFunctionleaky_relu
(inputs, slope=0.2)
代码技巧汇总/TF_GAN_util.py:48
↓ 3 callersFunctionload
(data_dir, subset='train')
GAN/ Wasserstein_GAN/WGAN-tensorflow-master/get_svhn.py:26
↓ 3 callersFunctionlrelu
(x, alpha=0.2)
GAN/Self_attention_GAN_tensorflow/ops.py:131
↓ 3 callersMethodmode_select
(self, mode)
GAN/人脸还原SCFEGAN/demo.py:48
↓ 3 callersFunctionprepare_h5py
(train_image, test_image, data_dir, shape=None)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/download.py:14
↓ 3 callersMethodreset_grad
(self)
GAN/self_attention _gan/trainer.py:220
↓ 3 callersFunctionsave_checkpoint
(model, optimizer, epoch, path, finetune=False)
AutoML/darts-master/rnn/utils.py:44
↓ 3 callersFunctionsave_images
(images, size, image_path)
GAN/Self_attention_GAN_tensorflow/utils.py:86
↓ 3 callersFunctionsave_images
(images, size, image_path)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/utils.py:213
↓ 3 callersFunctionspectral_norm
(W, iteration=1, collections=None, return_norm=False, name='sn')
One_Day_One_GAN/day18/Self-Supervised-GANs-master/ops.py:183
↓ 3 callersFunctionspectral_norm
(name, w, iteration=1)
代码技巧汇总/TF_GAN_util.py:51
↓ 3 callersFunctionssim
(img1, img2)
One_Day_One_GAN/day6/srgan_pytorch/PSRN_SSIM.py:78
↓ 3 callersMethodstep
(self, hidden_train, input_train, target_train, hidden_valid, input_valid, target_valid,
AutoML/darts-master/rnn/architect.py:41
↓ 3 callersMethodtokenize
Tokenizes a text file.
AutoML/darts-master/rnn/data.py:34
↓ 3 callersMethodtokenize
Tokenizes a text file.
AutoML/darts-master/rnn/data.py:65
↓ 3 callersFunctionup_sample
(x, scale_factor=2)
GAN/Self_attention_GAN_tensorflow/ops.py:122
↓ 3 callersMethodwriterow
(self, row)
Regularization/Cutout-master/util/misc.py:21
↓ 2 callersMethodAccuracy
(self, pred, y)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:149
↓ 2 callersMethodRotation_ALL
(self, images)
One_Day_One_GAN/day18/Self-Supervised-GANs-master/Model.py:167
↓ 2 callersMethod__init__
(self,in_dim,activation)
GAN/self_attention _gan/sagan_models.py:10
↓ 2 callersMethod__init__
(self, in_planes, out_planes, stride, dropRate=0.0)
Regularization/Cutout-master/model/wide_resnet.py:10
↓ 2 callersMethod__init__
(self, block, num_blocks, num_classes=10)
Regularization/Cutout-master/model/resnet.py:67
↓ 2 callersMethod__init__
(self, in_features)
One_Day_One_GAN/day13/cyclegan/models.py:23
↓ 2 callersMethod__init__
(self, steps, multiplier, C_prev_prev, C_prev, C, reduction, reduction_prev)
AutoML/darts-master/cnn/model_search.py:27
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