MCPcopy Create free account

hub / github.com/YyzHarry/imbalanced-regression / functions

Functions270 in github.com/YyzHarry/imbalanced-regression

⨍ Functions 270◇ Types & classes 47
Method__init__
(self, transforms)
nyud2-dir/nyu_transform.py:288
Method__init__
(self, brightness=0.4, contrast=0.4, saturation=0.4)
nyud2-dir/nyu_transform.py:305
Method__init__
(self, mean, std)
nyud2-dir/nyu_transform.py:316
Method__init__
(self, args, Encoder, num_features, block_channel)
nyud2-dir/models/net.py:6
Method__init__
(self, num_input_features, num_output_features)
nyud2-dir/models/modules.py:8
Method__init__
(self, original_model, num_features = 2048)
nyud2-dir/models/modules.py:35
Method__init__
(self, block_channel, num_features=64)
nyud2-dir/models/modules.py:98
Method__init__
(self, args, block_channel)
nyud2-dir/models/modules.py:132
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
nyud2-dir/models/resnet.py:26
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
nyud2-dir/models/resnet.py:58
Method__init__
(self, feature_dim, bucket_num=100, bucket_start=7, start_update=0, start_smooth=1, kernel='g
nyud2-dir/models/fds.py:13
Method__len__
(self)
agedb-dir/datasets.py:24
Method__len__
(self)
imdb-wiki-dir/datasets.py:24
Method__len__
(self)
nyud2-dir/loaddata.py:92
Method__str__
(self)
agedb-dir/utils.py:28
Method__str__
(self)
imdb-wiki-dir/utils.py:28
Methodas_array
(self, padding_lengths: Dict[str, int])
sts-b-dir/allennlp_mods/numeric_field.py:63
Methodas_tensor
(self, padding_lengths: Dict[str, int], cuda_device: int = -1, for_trainin
sts-b-dir/allennlp_mods/numeric_field.py:67
Methodbin2shot
(idx)
sts-b-dir/util.py:130
Methodcount_vocab_items
(self, counter: Dict[str, Dict[str, int]])
sts-b-dir/allennlp_mods/numeric_field.py:55
Methodempty_field
(self)
sts-b-dir/allennlp_mods/numeric_field.py:75
Methodforward
(self, x)
agedb-dir/resnet.py:27
Methodforward
(self, x)
agedb-dir/resnet.py:56
Methodforward
(self, x, targets=None, epoch=None)
agedb-dir/resnet.py:127
Methodforward
(self, s1, s2, m1=None, m2=None)
sts-b-dir/models.py:137
Methodforward
(self, x)
imdb-wiki-dir/resnet.py:27
Methodforward
(self, x)
imdb-wiki-dir/resnet.py:56
Methodforward
(self, x, targets=None, epoch=None)
imdb-wiki-dir/resnet.py:127
Methodforward
(self, x, depth=None, epoch=None)
nyud2-dir/models/net.py:16
Methodforward
(self, x, size)
nyud2-dir/models/modules.py:23
Methodforward
(self, x)
nyud2-dir/models/modules.py:48
Methodforward
(self, x_block1, x_block2, x_block3, x_block4)
nyud2-dir/models/modules.py:87
Methodforward
(self, x_block1, x_block2, x_block3, x_block4, size)
nyud2-dir/models/modules.py:119
Methodforward
(self, x, depth=None, epoch=None)
nyud2-dir/models/modules.py:154
Methodforward
(self, x)
nyud2-dir/models/resnet.py:36
Methodforward
(self, x)
nyud2-dir/models/resnet.py:71
Methodforward
(self, x)
nyud2-dir/models/resnet.py:136
FunctiongetTestingData
(args, batch_size=64)
nyud2-dir/loaddata.py:151
FunctiongetTrainingData
(args, batch_size=64)
nyud2-dir/loaddata.py:96
FunctiongetTrainingFDSData
(args, batch_size=64)
nyud2-dir/loaddata.py:132
Methodget_bin_idx
(label)
sts-b-dir/util.py:115
Methodget_padding_lengths
(self)
sts-b-dir/allennlp_mods/numeric_field.py:60
Functionget_text_field_mask
Takes the dictionary of tensors produced by a ``TextField`` and returns a mask of shape ``(batch_size, num_tokens)``. This mask will be 0 wh
sts-b-dir/util.py:10
Functioninner_device_mapping
(storage: torch.Storage, location)
sts-b-dir/util.py:41
Functionload_data
(mat_path)
imdb-wiki-dir/data/create_imdb_wiki.py:32
Methodreset
(self)
agedb-dir/fds.py:69
Methodreset
(self)
sts-b-dir/fds.py:74
Methodreset
(self)
imdb-wiki-dir/fds.py:69
Methodreset
(self)
nyud2-dir/util.py:80
Methodreset
(self)
nyud2-dir/models/fds.py:73
Functionresnet101
Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
nyud2-dir/models/resnet.py:186
Functionresnet152
Constructs a ResNet-152 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
nyud2-dir/models/resnet.py:197
Functionresnet18
Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
nyud2-dir/models/resnet.py:153
Functionresnet34
Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
nyud2-dir/models/resnet.py:164
Functionresnet50
Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
nyud2-dir/models/resnet.py:175
Functionweighted_focal_l1_loss
(inputs, targets, weights=None, activate='sigmoid', beta=.2, gamma=1)
agedb-dir/loss.py:31
Functionweighted_focal_l1_loss
(inputs, targets, weights=None, activate='sigmoid', beta=20., gamma=1)
sts-b-dir/loss.py:41
Functionweighted_focal_l1_loss
(inputs, targets, weights=None, activate='sigmoid', beta=.2, gamma=1)
imdb-wiki-dir/loss.py:31
Functionweighted_focal_mse_loss
(inputs, targets, weights=None, activate='sigmoid', beta=.2, gamma=1)
agedb-dir/loss.py:21
Functionweighted_focal_mse_loss
(inputs, targets, weights=None, activate='sigmoid', beta=20., gamma=1)
sts-b-dir/loss.py:31
Functionweighted_focal_mse_loss
(inputs, targets, weights=None, activate='sigmoid', beta=.2, gamma=1)
imdb-wiki-dir/loss.py:21
Functionweighted_huber_loss
(inputs, targets, weights=None, beta=1.)
agedb-dir/loss.py:41
Functionweighted_huber_loss
(inputs, targets, weights=None, beta=0.5)
sts-b-dir/loss.py:21
Functionweighted_huber_loss
(inputs, targets, weights=None, beta=1.)
imdb-wiki-dir/loss.py:41
Functionweighted_l1_loss
(inputs, targets, weights=None)
agedb-dir/loss.py:13
Functionweighted_l1_loss
(inputs, targets, weights=None)
sts-b-dir/loss.py:13
Functionweighted_l1_loss
(inputs, targets, weights=None)
imdb-wiki-dir/loss.py:13
Functionweighted_mse_loss
(inputs, targets, weights=None)
agedb-dir/loss.py:5
Functionweighted_mse_loss
(inputs, targets, weights=None)
sts-b-dir/loss.py:5
Functionweighted_mse_loss
(inputs, targets, weights=None)
imdb-wiki-dir/loss.py:5
← previous201–270 of 270, ranked by callers